Isolated polynucleotides and polypeptides, and methods of using same for increasing nitrogen use efficiency of plants

ABSTRACT

Provided are isolated polypeptides which are at least 80% homologous to SEQ ID NOs: 202-219, 221-292, 295-327, 4064-4175, 4177-4210, 4212-4580, 4582-4603, 4605-4749, 4751-4778, 4780-5223, 5225-5493, 5522-5807, 5812, 5815-5816, 5828-6679, 6689-6690, 6708-6785, 6792-6892 or 6893, isolated polynucleotides which are at least 80% identical to SEQ ID NOs: 1-91, 94-201, 328-2317, 2320-2321, 2323, 2326-3835, 3838-3840, 3842-3843, 3848, 3850-3852, 3854, 3856-3953, 3955-4061 or 4062, nucleic acid constructs comprising same, transgenic cells expressing same, transgenic plants expressing same and method of using same for increasing yield, abiotic stress tolerance, growth rate, biomass, vigor, oil content, photosynthetic capacity, seed yield, fiber yield, fiber quality, fiber length, and/or nitrogen use efficiency of a plant.

RELATED APPLICATIONS

This application is a division of U.S. patent application Ser. No. 15/864,015 filed on Jan. 8, 2018, which is a division of U.S. patent application Ser. No. 14/655,360 filed on Jun. 25, 2015, now U.S. Pat. No. 9,890,389, which is a National Phase of PCT Patent Application No. PCT/IL2013/051042 having International Filing Date of Dec. 19, 2013, which claims the benefit of priority under 35 USC § 119(e) of U.S. Provisional Patent Application Nos. 61/811,757 filed on Apr. 14, 2013 and 61/745,784 filed on Dec. 25, 2012. The contents of the above applications are all incorporated by reference as if fully set forth herein in their entirety.

SEQUENCE LISTING STATEMENT

The ASCII file, entitled 80159SequenceListing.txt, created on Dec. 11, 2018, comprising 16,550,521 bytes, submitted concurrently with the filing of this application is incorporated herein by reference.

FIELD AND BACKGROUND OF THE INVENTION

The present invention, in some embodiments thereof, relates to novel polynucleotides and polypeptides which can increase nitrogen use efficiency, fertilizer use efficiency, yield (e.g., seed/grain yield, oil yield), growth rate, vigor, biomass, oil content, fiber yield, fiber quality and/or length, abiotic stress tolerance and/or water use efficiency of a plant.

A common approach to promote plant growth has been, and continues to be, the use of natural as well as synthetic nutrients (fertilizers). Thus, fertilizers are the fuel behind the “green revolution”, directly responsible for the exceptional increase in crop yields during the last 40 years, and are considered the number one overhead expense in agriculture. For example, inorganic nitrogenous fertilizers such as ammonium nitrate, potassium nitrate, or urea, typically accounts for 40% of the costs associated with crops such as corn and wheat.

Of the three macronutrients provided as main fertilizers [Nitrogen (N), Phosphate (P) and Potassium (K)], nitrogen is often the rate-limiting element in plant growth and all field crops have a fundamental dependence on inorganic nitrogenous fertilizer. Nitrogen is responsible for biosynthesis of amino and nucleic acids, prosthetic groups, plant hormones, plant chemical defenses, etc. and usually needs to be replenished every year, particularly for cereals, which comprise more than half of the cultivated areas worldwide. Thus, nitrogen is translocated to the shoot, where it is stored in the leaves and stalk during the rapid step of plant development and up until flowering. In corn for example, plants accumulate the bulk of their organic nitrogen during the period of grain germination, and until flowering. Once fertilization of the plant has occurred, grains begin to form and become the main sink of plant nitrogen. The stored nitrogen can be then redistributed from the leaves and stalk that served as storage compartments until grain formation.

Since fertilizer is rapidly depleted from most soil types, it must be supplied to growing crops two or three times during the growing season. In addition, the low nitrogen use efficiency (NUE) of the main crops (e.g., in the range of only 30-70%) negatively affects the input expenses for the farmer, due to the excess fertilizer applied. Moreover, the over and inefficient use of fertilizers are major factors responsible for environmental problems such as eutrophication of groundwater, lakes, rivers and seas, nitrate pollution in drinking water which can cause methemoglobinemia, phosphate pollution, atmospheric pollution and the like. However, in spite of the negative impact of fertilizers on the environment, and the limits on fertilizer use, which have been legislated in several countries, the use of fertilizers is expected to increase in order to support food and fiber production for rapid population growth on limited land resources. For example, it has been estimated that by 2050, more than 150 million tons of nitrogenous fertilizer will be used worldwide annually.

Increased use efficiency of nitrogen by plants should enable crops to be cultivated with lower fertilizer input, or alternatively to be cultivated on soils of poorer quality and would therefore have significant economic impact in both developed and developing agricultural systems.

Genetic improvement of fertilizer use efficiency (FUE) in plants can be generated either via traditional breeding or via genetic engineering.

Attempts to generate plants with increased FUE have been described in U.S. Pat. Appl. Publication No. 20020046419 (U.S. Pat. No. 7,262,055 to Choo, et al.); U.S. Pat. Appl. No. 20050108791 to Edgerton et al.; U.S. Pat. Appl. No. 20060179511 to Chomet et al.; Good, A, et al. 2007 (Engineering nitrogen use efficiency with alanine aminotransferase. Canadian Journal of Botany 85: 252-262); and Good A G et al. 2004 (Trends Plant Sci. 9:597-605).

Yanagisawa et al. (Proc. Natl. Acad. Sci. U.S.A. 2004 101:7833-8) describe Dof1 transgenic plants which exhibit improved growth under low-nitrogen conditions.

U.S. Pat. No. 6,084,153 to Good et al. discloses the use of a stress responsive promoter to control the expression of Alanine Amine Transferase (AlaAT) and transgenic canola plants with improved drought and nitrogen deficiency tolerance when compared to control plants.

Yield is affected by various factors, such as, the number and size of the plant organs, plant architecture (for example, the number of branches), grains set length, number of filled grains, vigor (e.g. seedling), growth rate, root development, utilization of water, nutrients (e.g., nitrogen) and fertilizers, and stress tolerance.

Crops such as, corn, rice, wheat, canola and soybean account for over half of total human caloric intake, whether through direct consumption of the seeds themselves or through consumption of meat products raised on processed seeds or forage. Seeds are also a source of sugars, proteins and oils and metabolites used in industrial processes. The ability to increase plant yield, whether through increase dry matter accumulation rate, modifying cellulose or lignin composition, increase stalk strength, enlarge meristem size, change of plant branching pattern, erectness of leaves, increase in fertilization efficiency, enhanced seed dry matter accumulation rate, modification of seed development, enhanced seed filling or by increasing the content of oil, starch or protein in the seeds would have many applications in agricultural and non-agricultural uses such as in the biotechnological production of pharmaceuticals, antibodies or vaccines.

Vegetable or seed oils are the major source of energy and nutrition in human and animal diet. They are also used for the production of industrial products, such as paints, inks and lubricants. In addition, plant oils represent renewable sources of long-chain hydrocarbons which can be used as fuel. Since the currently used fossil fuels are finite resources and are gradually being depleted, fast growing biomass crops may be used as alternative fuels or for energy feedstocks and may reduce the dependence on fossil energy supplies. However, the major bottleneck for increasing consumption of plant oils as bio-fuel is the oil price, which is still higher than fossil fuel. In addition, the production rate of plant oil is limited by the availability of agricultural land and water. Thus, increasing plant oil yields from the same growing area can effectively overcome the shortage in production space and can decrease vegetable oil prices at the same time.

Studies aiming at increasing plant oil yields focus on the identification of genes involved in oil metabolism as well as in genes capable of increasing plant and seed yields in transgenic plants. Genes known to be involved in increasing plant oil yields include those participating in fatty acid synthesis or sequestering such as desaturase [e.g., DELTA6, DELTA12 or acyl-ACP (Ssi2; Arabidopsis Information Resource (TAIR; arabidopsis (dot) org/), TAIR No. AT2G43710)], OleosinA (TAIR No. AT3G01570) or FAD3 (TAIR No. AT2G29980), and various transcription factors and activators such as Lec1 [TAIR No. AT1G21970, Lotan et al. 1998. Cell. 26; 93(7):1195-205], Lec2 [TAIR No. AT1G28300, Santos Mendoza et al. 2005, FEBS Lett. 579(21):4666-70], Fus3 (TAIR No. AT3G26790), ABI3 [TAIR No. AT3G24650, Lara et al. 2003. J Biol Chem. 278(23): 21003-11] and Wri1 [TAIR No. AT3G54320, Cernac and Benning, 2004. Plant J. 40(4): 575-85].

Genetic engineering efforts aiming at increasing oil content in plants (e.g., in seeds) include upregulating endoplasmic reticulum (FAD3) and plastidal (FAD7) fatty acid desaturases in potato (Zabrouskov V., et al., 2002; Physiol Plant. 116:172-185); over-expressing the GmDof4 and GmDof11 transcription factors (Wang H W et al., 2007; Plant J. 52:716-29); over-expressing a yeast glycerol-3-phosphate dehydrogenase under the control of a seed-specific promoter (Vigeolas H, et al. 2007, Plant Biotechnol J. 5:431-41; U.S. Pat. Appl. No. 20060168684); using Arabidopsis FAE1 and yeast SLC1-1 genes for improvements in erucic acid and oil content in rapeseed (Katavic V, et al., 2000, Biochem Soc Trans. 28:935-7).

Various patent applications disclose genes and proteins which can increase oil content in plants. These include for example, U.S. Pat. Appl. No. 20080076179 (lipid metabolism protein); U.S. Pat. Appl. No. 20060206961 (the Ypr140w polypeptide); U.S. Pat. Appl. No. 20060174373 [triacylglycerols synthesis enhancing protein (TEP)]; U.S. Pat. Appl. Nos. 20070169219, 20070006345, 20070006346 and 20060195943 (disclose transgenic plants with improved nitrogen use efficiency which can be used for the conversion into fuel or chemical feedstocks); WO2008/122980 (polynucleotides for increasing oil content, growth rate, biomass, yield and/or vigor of a plant).

Abiotic stress (ABS; also referred to as “environmental stress”) conditions such as salinity, drought, flood, suboptimal temperature and toxic chemical pollution, cause substantial damage to agricultural plants. Most plants have evolved strategies to protect themselves against these conditions. However, if the severity and duration of the stress conditions are too great, the effects on plant development, growth and yield of most crop plants are profound. Furthermore, most of the crop plants are highly susceptible to abiotic stress and thus necessitate optimal growth conditions for commercial crop yields. Continuous exposure to stress causes major alterations in the plant metabolism which ultimately leads to cell death and consequently yield losses.

Drought is a gradual phenomenon, which involves periods of abnormally dry weather that persists long enough to produce serious hydrologic imbalances such as crop damage, water supply shortage and increased susceptibility to various diseases. In severe cases, drought can last many years and results in devastating effects on agriculture and water supplies. Furthermore, drought is associated with increase susceptibility to various diseases.

For most crop plants, the land regions of the world are too arid. In addition, overuse of available water results in increased loss of agriculturally-usable land (desertification), and increase of salt accumulation in soils adds to the loss of available water in soils.

Salinity, high salt levels, affects one in five hectares of irrigated land. None of the top five food crops, i.e., wheat, corn, rice, potatoes, and soybean, can tolerate excessive salt. Detrimental effects of salt on plants result from both water deficit, which leads to osmotic stress (similar to drought stress), and the effect of excess sodium ions on critical biochemical processes. As with freezing and drought, high salt causes water deficit; and the presence of high salt makes it difficult for plant roots to extract water from their environment. Soil salinity is thus one of the more important variables that determine whether a plant may thrive. In many parts of the world, sizable land areas are uncultivable due to naturally high soil salinity. Thus, salination of soils that are used for agricultural production is a significant and increasing problem in regions that rely heavily on agriculture, and is worsen by over-utilization, over-fertilization and water shortage, typically caused by climatic change and the demands of increasing population. Salt tolerance is of particular importance early in a plant's lifecycle, since evaporation from the soil surface causes upward water movement, and salt accumulates in the upper soil layer where the seeds are placed. On the other hand, germination normally takes place at a salt concentration which is higher than the mean salt level in the whole soil profile.

Salt and drought stress signal transduction consist of ionic and osmotic homeostasis signaling pathways. The ionic aspect of salt stress is signaled via the SOS pathway where a calcium-responsive SOS3-SOS2 protein kinase complex controls the expression and activity of ion transporters such as SOS1. The osmotic component of salt stress involves complex plant reactions that overlap with drought and/or cold stress responses.

Suboptimal temperatures affect plant growth and development through the whole plant life cycle. Thus, low temperatures reduce germination rate and high temperatures result in leaf necrosis. In addition, mature plants that are exposed to excess of heat may experience heat shock, which may arise in various organs, including leaves and particularly fruit, when transpiration is insufficient to overcome heat stress. Heat also damages cellular structures, including organelles and cytoskeleton, and impairs membrane function. Heat shock may produce a decrease in overall protein synthesis, accompanied by expression of heat shock proteins, e.g., chaperones, which are involved in refolding proteins denatured by heat. High-temperature damage to pollen almost always occurs in conjunction with drought stress, and rarely occurs under well-watered conditions. Combined stress can alter plant metabolism in novel ways. Excessive chilling conditions, e.g., low, but above freezing, temperatures affect crops of tropical origins, such as soybean, rice, maize, and cotton. Typical chilling damage includes wilting, necrosis, chlorosis or leakage of ions from cell membranes. The underlying mechanisms of chilling sensitivity are not completely understood yet, but probably involve the level of membrane saturation and other physiological deficiencies. Excessive light conditions, which occur under clear atmospheric conditions subsequent to cold late summer/autumn nights, can lead to photoinhibition of photosynthesis (disruption of photosynthesis). In addition, chilling may lead to yield losses and lower product quality through the delayed ripening of maize.

Common aspects of drought, cold and salt stress response [Reviewed in Xiong and Zhu (2002) Plant Cell Environ. 25: 131-139] include: (a) transient changes in the cytoplasmic calcium levels early in the signaling event; (b) signal transduction via mitogen-activated and/or calcium dependent protein kinases (CDPKs) and protein phosphatases; (c) increases in abscisic acid levels in response to stress triggering a subset of responses; (d) inositol phosphates as signal molecules (at least for a subset of the stress responsive transcriptional changes; (e) activation of phospholipases which in turn generates a diverse array of second messenger molecules, some of which might regulate the activity of stress responsive kinases; (f) induction of late embryogenesis abundant (LEA) type genes including the CRT/DRE responsive COR/RD genes; (g) increased levels of antioxidants and compatible osmolytes such as proline and soluble sugars; and (h) accumulation of reactive oxygen species such as superoxide, hydrogen peroxide, and hydroxyl radicals. Abscisic acid biosynthesis is regulated by osmotic stress at multiple steps. Both ABA-dependent and -independent osmotic stress signaling first modify constitutively expressed transcription factors, leading to the expression of early response transcriptional activators, which then activate downstream stress tolerance effector genes.

Several genes which increase tolerance to cold or salt stress can also improve drought stress protection, these include for example, the transcription factor AtCBF/DREB1, OsCDPK7 (Saijo et al. 2000, Plant J. 23: 319-327) or AVP1 (a vacuolar pyrophosphatase-proton pump, Gaxiola et al. 2001, Proc. Natl. Acad. Sci. USA 98: 11444-11449).

Studies have shown that plant adaptations to adverse environmental conditions are complex genetic traits with polygenic nature. Conventional means for crop and horticultural improvements utilize selective breeding techniques to identify plants having desirable characteristics. However, selective breeding is tedious, time consuming and has an unpredictable outcome. Furthermore, limited germplasm resources for yield improvement and incompatibility in crosses between distantly related plant species represent significant problems encountered in conventional breeding. Advances in genetic engineering have allowed mankind to modify the germplasm of plants by expression of genes-of-interest in plants. Such a technology has the capacity to generate crops or plants with improved economic, agronomic or horticultural traits.

Genetic engineering efforts, aimed at conferring abiotic stress tolerance to transgenic crops, have been described in various publications [Apse and Blumwald (Curr Opin Biotechnol. 13:146-150, 2002), Quesada et al. (Plant Physiol. 130:951-963, 2002), Holmstrim et al. (Nature 379: 683-684, 1996), Xu et al. (Plant Physiol 110: 249-257, 1996), Pilon-Smits and Ebskamp (Plant Physiol 107: 125-130, 1995) and Tarczynski et al. (Science 259: 508-510, 1993)].

Various patents and patent applications disclose genes and proteins which can be used for increasing tolerance of plants to abiotic stresses. These include for example, U.S. Pat. Nos. 5,296,462 and 5,356,816 (for increasing tolerance to cold stress); U.S. Pat. No. 6,670,528 (for increasing ABST); U.S. Pat. No. 6,720,477 (for increasing ABST); U.S. application Ser. Nos. 09/938,842 and 10/342,224 (for increasing ABST); U.S. application Ser. No. 10/231,035 (for increasing ABST); WO2004/104162 (for increasing ABST and biomass); WO2007/020638 (for increasing ABST, biomass, vigor and/or yield); WO2007/049275 (for increasing ABST, biomass, vigor and/or yield); WO2010/076756 (for increasing ABST, biomass and/or yield);. WO2009/083958 (for increasing water use efficiency, fertilizer use efficiency, biotic/abiotic stress tolerance, yield and/or biomass); WO2010/020941 (for increasing nitrogen use efficiency, abiotic stress tolerance, yield and/or biomass); WO2009/141824 (for increasing plant utility); WO2010/049897 (for increasing plant yield).

Nutrient deficiencies cause adaptations of the root architecture, particularly notably for example is the root proliferation within nutrient rich patches to increase nutrient uptake. Nutrient deficiencies cause also the activation of plant metabolic pathways which maximize the absorption, assimilation and distribution processes such as by activating architectural changes. Engineering the expression of the triggered genes may cause the plant to exhibit the architectural changes and enhanced metabolism also under other conditions.

In addition, it is widely known that the plants usually respond to water deficiency by creating a deeper root system that allows access to moisture located in deeper soil layers. Triggering this effect will allow the plants to access nutrients and water located in deeper soil horizons particularly those readily dissolved in water like nitrates.

Cotton and cotton by-products provide raw materials that are used to produce a wealth of consumer-based products in addition to textiles including cotton foodstuffs, livestock feed, fertilizer and paper. The production, marketing, consumption and trade of cotton-based products generate an excess of $100 billion annually in the U.S. alone, making cotton the number one value-added crop.

Even though 90% of cotton's value as a crop resides in the fiber (lint), yield and fiber quality has declined due to general erosion in genetic diversity of cotton varieties, and an increased vulnerability of the crop to environmental conditions.

There are many varieties of cotton plant, from which cotton fibers with a range of characteristics can be obtained and used for various applications. Cotton fibers may be characterized according to a variety of properties, some of which are considered highly desirable within the textile industry for the production of increasingly high quality products and optimal exploitation of modem spinning technologies. Commercially desirable properties include length, length uniformity, fineness, maturity ratio, decreased fuzz fiber production, micronaire, bundle strength, and single fiber strength. Much effort has been put into the improvement of the characteristics of cotton fibers mainly focusing on fiber length and fiber fineness. In particular, there is a great demand for cotton fibers of specific lengths.

A cotton fiber is composed of a single cell that has differentiated from an epidermal cell of the seed coat, developing through four stages, i.e., initiation, elongation, secondary cell wall thickening and maturation stages. More specifically, the elongation of a cotton fiber commences in the epidermal cell of the ovule immediately following flowering, after which the cotton fiber rapidly elongates for approximately 21 days. Fiber elongation is then terminated, and a secondary cell wall is formed and grown through maturation to become a mature cotton fiber.

Several candidate genes which are associated with the elongation, formation, quality and yield of cotton fibers were disclosed in various patent applications such as U.S. Pat. No. 5,880,100 and U.S. patent application Ser. Nos. 08/580,545, 08/867,484 and 09/262,653 (describing genes involved in cotton fiber elongation stage); WO0245485 (improving fiber quality by modulating sucrose synthase); U.S. Pat. No. 6,472,588 and WO0117333 (increasing fiber quality by transformation with a DNA encoding sucrose phosphate synthase); WO9508914 (using a fiber-specific promoter and a coding sequence encoding cotton peroxidase); WO9626639 (using an ovary specific promoter sequence to express plant growth modifying hormones in cotton ovule tissue, for altering fiber quality characteristics such as fiber dimension and strength); U.S. Pat. Nos. 5,981,834, 5,597,718, 5,620,882, 5,521,708 and 5,495,070 (coding sequences to alter the fiber characteristics of transgenic fiber producing plants); U.S. patent applications U.S. 2002049999 and U.S. 2003074697 (expressing a gene coding for endoxyloglucan transferase, catalase or peroxidase for improving cotton fiber characteristics); WO 01/40250 (improving cotton fiber quality by modulating transcription factor gene expression); WO 96/40924 (a cotton fiber transcriptional initiation regulatory region associated which is expressed in cotton fiber); EP0834566 (a gene which controls the fiber formation mechanism in cotton plant); WO2005/121364 (improving cotton fiber quality by modulating gene expression); WO2008/075364 (improving fiber quality, yield/biomass/vigor and/or abiotic stress tolerance of plants).

WO publication No. 2004/104162 discloses methods of increasing abiotic stress tolerance and/or biomass in plants and plants generated thereby.

WO publication No. 2004/111183 discloses nucleotide sequences for regulating gene expression in plant trichomes and constructs and methods utilizing same.

WO publication No. 2004/081173 discloses novel plant derived regulatory sequences and constructs and methods of using such sequences for directing expression of exogenous polynucleotide sequences in plants.

WO publication No. 2005/121364 discloses polynucleotides and polypeptides involved in plant fiber development and methods of using same for improving fiber quality, yield and/or biomass of a fiber producing plant.

WO publication No. 2007/049275 discloses isolated polypeptides, polynucleotides encoding same, transgenic plants expressing same and methods of using same for increasing fertilizer use efficiency, plant abiotic stress tolerance and biomass.

WO publication No. 2007/020638 discloses methods of increasing abiotic stress tolerance and/or biomass in plants and plants generated thereby.

WO publication No. 2008/122980 discloses genes constructs and methods for increasing oil content, growth rate and biomass of plants.

WO publication No. 2008/075364 discloses polynucleotides involved in plant fiber development and methods of using same.

WO publication No. 2009/083958 discloses methods of increasing water use efficiency, fertilizer use efficiency, biotic/abiotic stress tolerance, yield and biomass in plant and plants generated thereby.

WO publication No. 2009/141824 discloses isolated polynucleotides and methods using same for increasing plant utility.

WO publication No. 2009/013750 discloses genes, constructs and methods of increasing abiotic stress tolerance, biomass and/or yield in plants generated thereby.

WO publication No. 2010/020941 discloses methods of increasing nitrogen use efficiency, abiotic stress tolerance, yield and biomass in plants and plants generated thereby.

WO publication No. 2010/076756 discloses isolated polynucleotides for increasing abiotic stress tolerance, yield, biomass, growth rate, vigor, oil content, fiber yield, fiber quality, and/or nitrogen use efficiency of a plant.

WO2010/100595 publication discloses isolated polynucleotides and polypeptides, and methods of using same for increasing plant yield and/or agricultural characteristics.

WO publication No. 2010/049897 discloses isolated polynucleotides and polypeptides and methods of using same for increasing plant yield, biomass, growth rate, vigor, oil content, abiotic stress tolerance of plants and nitrogen use efficiency.

WO2010/143138 publication discloses isolated polynucleotides and polypeptides, and methods of using same for increasing nitrogen use efficiency, fertilizer use efficiency, yield, growth rate, vigor, biomass, oil content, abiotic stress tolerance and/or water use efficiency.

WO publication No. 2011/080674 discloses isolated polynucleotides and polypeptides and methods of using same for increasing plant yield, biomass, growth rate, vigor, oil content, abiotic stress tolerance of plants and nitrogen use efficiency.

WO2011/015985 publication discloses polynucleotides and polypeptides for increasing desirable plant qualities.

WO2011/135527 publication discloses isolated polynucleotides and polypeptides for increasing plant yield and/or agricultural characteristics.

WO2012/028993 publication discloses isolated polynucleotides and polypeptides, and methods of using same for increasing nitrogen use efficiency, yield, growth rate, vigor, biomass, oil content, and/or abiotic stress tolerance.

WO2012/085862 publication discloses isolated polynucleotides and polypeptides, and methods of using same for improving plant properties.

WO2012/150598 publication discloses isolated polynucleotides and polypeptides and methods of using same for increasing plant yield, biomass, growth rate, vigor, oil content, abiotic stress tolerance of plants and nitrogen use efficiency.

WO2013/027223 publication discloses isolated polynucleotides and polypeptides, and methods of using same for increasing plant yield and/or agricultural characteristics.

WO2013/080203 publication discloses isolated polynucleotides and polypeptides, and methods of using same for increasing nitrogen use efficiency, yield, growth rate, vigor, biomass, oil content, and/or abiotic stress tolerance.

WO2013/098819 publication discloses isolated polynucleotides and polypeptides, and methods of using same for increasing yield of plants.

WO2013/128448 publication discloses isolated polynucleotides and polypeptides and methods of using same for increasing plant yield, biomass, growth rate, vigor, oil content, abiotic stress tolerance of plants and nitrogen use efficiency.

SUMMARY OF THE INVENTION

According to an aspect of some embodiments of the present invention there is provided a method of increasing nitrogen use efficiency, yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of a plant, comprising expressing within the plant an exogenous polynucleotide comprising a nucleic acid sequence encoding a polypeptide at least 80% identical to SEQ ID NO: 202-219, 221-292, 295-327, 4064-4175, 4177-4210, 4212-4580, 4582-4603, 4605-4749, 4751-4778, 4780-5223, 5225-5493, 5522-5807, 5812, 5815-5816, 5828-6679, 6689-6690, 6708-6785, 6792-6892 or 6893, thereby increasing the nitrogen use efficiency, yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of the plant.

According to an aspect of some embodiments of the present invention there is provided a method of increasing nitrogen use efficiency, yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of a plant, comprising expressing within the plant an exogenous polynucleotide comprising a nucleic acid sequence encoding a polypeptide selected from the group consisting of SEQ ID NOs: 202-327 and 4064-6893, thereby increasing the nitrogen use efficiency, yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of the plant.

According to an aspect of some embodiments of the present invention there is provided a method of producing a crop comprising growing a crop plant transformed with an exogenous polynucleotide comprising a nucleic acid sequence encoding a polypeptide at least 80% homologous (e.g., identical) to the amino acid sequence selected from the group consisting of SEQ ID NOs: 202-219, 221-292, 295-327, 4064-4175, 4177-4210, 4212-4580, 4582-4603, 4605-4749, 4751-4778, 4780-5223, 5225-5493, 5522-5807, 5812, 5815-5816, 5828-6679, 6689-6690, 6708-6785, and 6792-6893, wherein the crop plant is derived from plants selected for increased nitrogen use efficiency, increased yield, increased growth rate, increased biomass, increased vigor, increased oil content, increased seed yield, increased fiber yield, increased fiber quality, increased fiber length, increased photosynthetic capacity, and/or increased abiotic stress tolerance as compared to a wild type plant of the same species which is grown under the same growth conditions, and the crop plant having the increased nitrogen use efficiency, increased yield, increased growth rate, increased biomass, increased vigor, increased oil content, increased seed yield, increased fiber yield, increased fiber quality, increased fiber length, increased photosynthetic capacity, and/or increased abiotic stress tolerance, thereby producing the crop.

According to an aspect of some embodiments of the present invention there is provided a method of increasing nitrogen use efficiency, yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of a plant, comprising expressing within the plant an exogenous polynucleotide comprising a nucleic acid sequence at least 80% identical to SEQ ID NO: 1-91, 94-201, 328-2317, 2320-2321, 2323, 2326-3835, 3838-3840, 3842-3843, 3848, 3850-3852, 3854, 3856-3953, 3955-4061 or 4062, thereby increasing the nitrogen use efficiency, yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of the plant.

According to an aspect of some embodiments of the present invention there is provided a method of increasing nitrogen use efficiency, yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of a plant, comprising expressing within the plant an exogenous polynucleotide comprising the nucleic acid sequence selected from the group consisting of SEQ ID NOs:1-201 and 328-4062, thereby increasing the nitrogen use efficiency, yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of the plant.

According to an aspect of some embodiments of the present invention there is provided a method of producing a crop comprising growing a crop plant transformed with an exogenous polynucleotide which comprises a nucleic acid sequence which is at least 80% identical to the nucleic acid sequence selected from the group consisting of SEQ ID NOs:1-91, 94-201, 328-2317, 2320-2321, 2323, 2326-3835, 3838-3840, 3842-3843, 3848, 3850-3852, 3854, 3856-3953, and 3955-4062, wherein the crop plant is derived from plants selected for increased nitrogen use efficiency, increased yield, increased growth rate, increased biomass, increased vigor, increased oil content, increased seed yield, increased fiber yield, increased fiber quality, increased fiber length, increased photosynthetic capacity, and/or increased abiotic stress tolerance as compared to a wild type plant of the same species which is grown under the same growth conditions, and the crop plant having the increased nitrogen use efficiency, increased yield, increased growth rate, increased biomass, increased vigor, increased oil content, increased seed yield, increased fiber yield, increased fiber quality, increased fiber length, increased photosynthetic capacity, and/or increased abiotic stress tolerance, thereby producing the crop.

According to an aspect of some embodiments of the present invention there is provided an isolated polynucleotide comprising a nucleic acid sequence encoding a polypeptide which comprises an amino acid sequence at least 80% homologous to the amino acid sequence set forth in SEQ ID NO:202-219, 221-292, 295-327 and 4064-4175, 4177-4210, 4212-4580, 4582-4603, 4605-4749, 4751-4778, 4780-5223, 5225-5493, 5522-5807, 5812, 5815-5816, 5828-6679, 6689-6690, 6708-6785, 6792-6892, or 6893, wherein the amino acid sequence is capable of increasing nitrogen use efficiency, yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of a plant.

According to an aspect of some embodiments of the present invention there is provided an isolated polynucleotide comprising a nucleic acid sequence encoding a polypeptide which comprises the amino acid sequence selected from the group consisting of SEQ ID NOs: 202-327 and 4064-6893.

According to an aspect of some embodiments of the present invention there is provided an isolated polynucleotide comprising a nucleic acid sequence at least 80% identical to SEQ ID NO: 1-91, 94-201, 328-2317, 2320-2321, 2323, 2326-3835, 3838-3840, 3842-3843, 3848, 3850-3852, 3854, 3856-3953, 3955-4061 or 4062, wherein the nucleic acid sequence is capable of increasing nitrogen use efficiency, yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of a plant.

According to an aspect of some embodiments of the present invention there is provided an isolated polynucleotide comprising the nucleic acid sequence selected from the group consisting of SEQ ID NOs: 1-201 and 328-4062.

According to an aspect of some embodiments of the present invention there is provided a nucleic acid construct comprising the isolated polynucleotide of some embodiments of the invention, and a promoter for directing transcription of the nucleic acid sequence in a host cell.

According to an aspect of some embodiments of the present invention there is provided an isolated polypeptide comprising an amino acid sequence at least 80% homologous to SEQ ID NO: 202-219, 221-292, 295-327 and 4064-4175, 4177-4210, 4212-4580, 4582-4603, 4605-4749, 4751-4778, 4780-5223, 5225-5493, 5522-5807, 5812, 5815-5816, 5828-6679, 6689-6690, 6708-6785, 6792-6892, or 6893, wherein the amino acid sequence is capable of increasing nitrogen use efficiency, yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of a plant.

According to an aspect of some embodiments of the present invention there is provided an isolated polypeptide comprising the amino acid sequence selected from the group consisting of SEQ ID NOs: 202-327 and 4064-6893.

According to an aspect of some embodiments of the present invention there is provided a plant cell exogenously expressing the polynucleotide of some embodiments of the invention, or the nucleic acid construct of some embodiments of the invention.

According to an aspect of some embodiments of the present invention there is provided a plant cell exogenously expressing the polypeptide of some embodiments of the invention.

According to an aspect of some embodiments of the present invention there is provided a transgenic plant comprising the nucleic acid construct of some embodiments of the invention or the plant cell of some embodiments of the invention.

According to an aspect of some embodiments of the present invention there is provided a method of growing a crop, the method comprising seeding seeds and/or planting plantlets of a plant transformed with the isolated polynucleotide of some embodiments of the invention, or with the nucleic acid construct of some embodiments of the invention, wherein the plant is derived from plants selected for at least one trait selected from the group consisting of: increased nitrogen use efficiency, increased abiotic stress tolerance, increased biomass, increased growth rate, increased vigor, increased yield and increased fiber yield, increased fiber quality, increased fiber length, increased photosynthetic capacity, and increased oil content as compared to a non-transformed plant, thereby growing the crop.

According to an aspect of some embodiments of the present invention there is provided a method of selecting a transformed plant having increased nitrogen use efficiency, yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance as compared to a wild type plant of the same species which is grown under the same growth conditions, the method comprising:

(a) providing plants transformed with an exogenous polynucleotide encoding a polypeptide comprising an amino acid sequence at least 80% homologous to the amino acid sequence selected from the group consisting of SEQ ID NOs: 202-219, 221-292, 295-327 and 4064-4175, 4177-4210, 4212-4580, 4582-4603, 4605-4749, 4751-4778, 4780-5223, 5225-5493, 5522-5807, 5812, 5815-5816, 5828-6679, 6689-6690, 6708-6785, and 6792-6893,

(b) selecting from the plants a plant having increased nitrogen use efficiency, yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance,

thereby selecting the plant having increased nitrogen use efficiency, yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance as compared to the wild type plant of the same species which is grown under the same growth conditions.

According to an aspect of some embodiments of the present invention there is provided a method of selecting a transformed plant having increased nitrogen use efficiency, yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance as compared to a wild type plant of the same species which is grown under the same growth conditions, the method comprising:

(a) providing plants transformed with an exogenous polynucleotide encoding a polypeptide comprising an amino acid sequence at least 80% identical to the nucleic acid sequence selected from the group consisting of SEQ ID NOs: 1-91, 94-201, 328-2317, 2320-2321, 2323, 2326-3835, 3838-3840, 3842-3843, 3848, 3850-3852, 3854, 3856-3953, and 3955-4062,

(b) selecting from the plants a plant having increased nitrogen use efficiency, yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance,

thereby selecting the plant having increased nitrogen use efficiency, yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance as compared to the wild type plant of the same species which is grown under the same growth conditions.

According to some embodiments of the invention, the nucleic acid sequence encodes an amino acid sequence selected from the group consisting of SEQ ID NOs: 202-327 and 4064-6893.

According to some embodiments of the invention, the nucleic acid sequence is selected from the group consisting of SEQ ID NOs:1-201 and 328-4062.

According to some embodiments of the invention, the polynucleotide consists of the nucleic acid sequence selected from the group consisting of SEQ ID NOs: 1-201 and 328-4062.

According to some embodiments of the invention, the nucleic acid sequence encodes the amino acid sequence selected from the group consisting of SEQ ID NOs: 202-327 and 4064-6893.

According to some embodiments of the invention, the plant cell forms part of a plant.

According to some embodiments of the invention, the method further comprising growing the plant expressing the exogenous polynucleotide under the abiotic stress.

According to some embodiments of the invention, the abiotic stress is selected from the group consisting of salinity, drought, osmotic stress, water deprivation, flood, etiolation, low temperature, high temperature, heavy metal toxicity, anaerobiosis, nutrient deficiency, nitrogen deficiency, nutrient excess, atmospheric pollution and UV irradiation.

According to some embodiments of the invention, the yield comprises seed yield or oil yield.

According to some embodiments of the invention, the method further comprising growing the plant expressing the exogenous polynucleotide under nitrogen-limiting conditions.

According to some embodiments of the invention, the promoter is heterologous to the isolated polynucleotide and/or to the host cell.

According to some embodiments of the invention, the isolated polynucleotide is heterologous to the plant cell.

According to some embodiments of the invention, the non-transformed plant is a wild type plant of identical genetic background.

According to some embodiments of the invention, the non-transformed plant is a wild type plant of the same species.

According to some embodiments of the invention, the non-transformed plant is grown under identical growth conditions.

According to some embodiments of the invention, the method further comprising selecting a plant having an increased nitrogen use efficiency, yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance as compared to the wild type plant of the same species which is grown under the same growth conditions.

Unless otherwise defined, all technical and/or scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which the invention pertains. Although methods and materials similar or equivalent to those described herein can be used in the practice or testing of embodiments of the invention, exemplary methods and/or materials are described below. In case of conflict, the patent specification, including definitions, will control. In addition, the materials, methods, and examples are illustrative only and are not intended to be necessarily limiting.

BRIEF DESCRIPTION OF THE SEVERAL VIEWS OF THE DRAWINGS

Some embodiments of the invention are herein described, by way of example only, with reference to the accompanying drawings. With specific reference now to the drawings in detail, it is stressed that the particulars shown are by way of example and for purposes of illustrative discussion of embodiments of the invention. In this regard, the description taken with the drawings makes apparent to those skilled in the art how embodiments of the invention may be practiced.

In the drawings:

FIG. 1 is a schematic illustration of the modified pGI binary plasmid containing the new At6669 promoter (SEQ ID NO: 6918) and the GUSintron (pQYN_6669) used for expressing the isolated polynucleotide sequences of the invention. RB—T-DNA right border; LB—T-DNA left border; MCS—Multiple cloning site; RE—any restriction enzyme; NOS pro=nopaline synthase promoter; NPT-II=neomycin phosphotransferase gene; NOS ter=nopaline synthase terminator; Poly-A signal (polyadenylation signal); GUSintron—the GUS reporter gene (coding sequence and intron). The isolated polynucleotide sequences of the invention were cloned into the vector while replacing the GUSintron reporter gene.

FIG. 2 is a schematic illustration of the modified pGI binary plasmid containing the new At6669 promoter (SEQ ID NO: 6918) (pQFN or pQFNc) used for expressing the isolated polynucleotide sequences of the invention. RB—T-DNA right border; LB—T-DNA left border; MCS—Multiple cloning site; RE—any restriction enzyme; NOS pro=nopaline synthase promoter; NPT-II=neomycin phosphotransferase gene; NOS ter=nopaline synthase terminator; Poly-A signal (polyadenylation signal); The isolated polynucleotide sequences of the invention were cloned into the MCS of the vector.

FIGS. 3A-3F are images depicting visualization of root development of transgenic plants exogenously expressing the polynucleotide of some embodiments of the invention when grown in transparent agar plates under normal (FIGS. 3A-3B), osmotic stress (15% PEG; FIGS. 3C-3D) or nitrogen-limiting (FIGS. 3E-3F) conditions. The different transgenes were grown in transparent agar plates for 17 days (7 days nursery and 10 days after transplanting). The plates were photographed every 3-4 days starting at day 1 after transplanting. FIG. 3A—An image of a photograph of plants taken following 10 after transplanting days on agar plates when grown under normal (standard) conditions. FIG. 3B—An image of root analysis of the plants shown in FIG. 3A in which the lengths of the roots measured are represented by arrows. FIG. 3C—An image of a photograph of plants taken following 10 days after transplanting on agar plates, grown under high osmotic (PEG 15%) conditions. FIG. 3D—An image of root analysis of the plants shown in FIG. 3C in which the lengths of the roots measured are represented by arrows. FIG. 3E—An image of a photograph of plants taken following 10 days after transplanting on agar plates, grown under low nitrogen conditions. FIG. 3F—An image of root analysis of the plants shown in FIG. 3E in which the lengths of the roots measured are represented by arrows.

FIG. 4 is a schematic illustration of the modified pGI binary plasmid containing the Root Promoter (pQNa_RP; SEQ ID NO: 6927) used for expressing the isolated polynucleotide sequences of the invention. RB—T-DNA right border; LB—T-DNA left border; NOS pro=nopaline synthase promoter; NPT-II=neomycin phosphotransferase gene; NOS ter=nopaline synthase terminator; Poly-A signal (polyadenylation signal); The isolated polynucleotide sequences according to some embodiments of the invention were cloned into the MCS (Multiple cloning site) of the vector.

FIG. 5 is a schematic illustration of the pQYN plasmid.

FIG. 6 is a schematic illustration of the pQFN plasmid.

FIG. 7 is a schematic illustration of the pQFYN plasmid.

FIG. 8 is a schematic illustration of pQXNc plasmid, which is a modified pGI binary plasmid used for expressing the isolated polynucleotide sequences of some embodiments of the invention. RB—T-DNA right border; LB—T-DNA left border; NOS pro=nopaline synthase promoter; NPT-II=neomycin phosphotransferase gene; NOS ter=nopaline synthase terminator; RE=any restriction enzyme; Poly-A signal (polyadenylation signal); 35S—the 35S promoter (pqfnc; SEQ ID NO: 6914). The isolated polynucleotide sequences of some embodiments of the invention were cloned into the MCS (Multiple cloning site) of the vector.

FIGS. 9A-9B are schematic illustrations of the pEBbVNi tDNA (FIG. 9A) and the pEBbNi tDNA (FIG. 9B) plasmids used in the Brachypodium experiments. pEBbVNi tDNA (FIG. 9A) was used for expression of the isolated polynucleotide sequences of some embodiments of the invention in Brachypodium. pEBbNi tDNA (FIG. 9B) was used for transformation into Brachypodium as a negative control. “RB”=right border; “2LBregion”=2 repeats of left border; “35S”=35S promoter (SEQ ID NO:6930); “NOS ter”=nopaline synthase terminator; “Bar ORF”—BAR open reading frame (GenBank Accession No. JQ293091.1; SEQ ID NO:7121); The isolated polynucleotide sequences of some embodiments of the invention were cloned into the Multiple cloning site of the vector using one or more of the indicated restriction enzyme sites.

DESCRIPTION OF SPECIFIC EMBODIMENTS OF THE INVENTION

The present invention, in some embodiments thereof, relates to novel polynucleotides and polypeptides, nucleic acid constructs comprising same, host cells (e.g., plant cells) expressing same, transgenic plants exogenously expressing same and, more particularly, but not exclusively, to methods of using same for increasing nitrogen use efficiency, fertilizer use efficiency, yield, growth rate, vigor, biomass, oil content, fiber yield, fiber quality, fiber length, photosynthetic capacity, abiotic stress tolerance and/or water use efficiency of a plant such as a wheat plant.

Before explaining at least one embodiment of the invention in detail, it is to be understood that the invention is not necessarily limited in its application to the details set forth in the following description or exemplified by the Examples. The invention is capable of other embodiments or of being practiced or carried out in various ways.

The present inventors have identified novel polypeptides and polynucleotides which can be used to generate nucleic acid constructs, transgenic plants and to increase nitrogen use efficiency, fertilizer use efficiency, yield, growth rate, vigor, biomass, oil content, fiber yield, fiber quality, fiber length, abiotic stress tolerance and/or water use efficiency of a plant, such as a wheat plant.

Thus, as shown in the Examples section which follows, the present inventors have utilized bioinformatics tools to identify polynucleotides which enhance yield (e.g., seed yield, oil yield, oil content), growth rate, biomass, vigor, fiber yield, fiber quality, fiber length, photosynthetic capacity, nitrogen use efficiency, fertilizer use efficiency and/or abiotic stress tolerance of a plant. Genes which affect the trait-of-interest were identified (SEQ ID NOs: 202-327 for polypeptides; and SEQ ID NOs: 1-201 for polynucleotides) based on expression profiles of genes of several Arabidopsis, Barley, Sorghum, Maize, Brachypodium, Foxtail Millet and Wheat ecotypes and accessions in various tissues and growth conditions, homology with genes known to affect the trait-of-interest and using digital expression profile in specific tissues and conditions (Tables 1 and 3-74, Examples 1 and 3-13 of the Examples section which follows). Homologous (e.g., orthologous) polypeptides and polynucleotides having the same function were also identified (SEQ ID NOs: 4064-6893 for polypeptides, and SEQ ID NOs: 328-4062 for polynucleotides; Table 2, Example 2 of the Examples section which follows). The polynucleotides of some embodiments of the invention were cloned into binary vectors (Example 14, Table 75), and were further transformed into Arabidopsis and Brachypodium plants (Examples 15-17). Transgenic plants over-expressing the identified polynucleotides were found to exhibit increased biomass, growth rate, yield under normal conditions and under nitrogen limiting conditions, thus demonstrating increased nitrogen use efficiency of a plant (Tables 76-105; Examples 18-22 of the Examples section which follows), and increased tolerance to abiotic stress conditions (e.g., nutrient deficiency) as compared to control plants grown under the same growth conditions. Altogether, these results suggest the use of the novel polynucleotides and polypeptides of the invention [e.g., SEQ ID NOs: 202-327 and 4064-6893 (polypeptides) and SEQ ID NOs: 1-201 and 328-4062 (polynucleotides)] for increasing nitrogen use efficiency, fertilizer use efficiency, water use efficiency, abiotic stress tolerance, yield (e.g., oil yield, seed yield and oil content), growth rate, biomass, vigor, fiber yield, fiber quality, fiber length, and/or photosynthetic capacity of a plant.

Thus, according to an aspect of some embodiments of the invention, there is provided method of increasing fertilizer use efficiency (e.g., nitrogen use efficiency), yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of a plant, comprising expressing within the plant an exogenous polynucleotide comprising a nucleic acid sequence encoding a polypeptide at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more say 100% homologous to the amino acid sequence selected from the group consisting of SEQ ID NOs: 202-219, 221-292, 295-327, 4064-4175, 4177-4210, 4212-4580, 4582-4603, 4605-4749, 4751-4778, 4780-5223, 5225-5493, 5522-5807, 5812, 5815-5816, 5828-6679, 6689-6690, 6708-6785, and 6792-6893, thereby increasing the fertilizer use efficiency (e.g., nitrogen use efficiency), yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of the plant.

As used herein the phrase “plant yield” refers to the amount (e.g., as determined by weight or size) or quantity (numbers) of tissues or organs produced per plant or per growing season. Hence increased yield could affect the economic benefit one can obtain from the plant in a certain growing area and/or growing time.

It should be noted that a plant yield can be affected by various parameters including, but not limited to, plant biomass; plant vigor; growth rate; seed yield; seed or grain quantity; seed or grain quality; oil yield; content of oil, starch and/or protein in harvested organs (e.g., seeds or vegetative parts of the plant); number of flowers (florets) per panicle (expressed as a ratio of number of filled seeds over number of primary panicles); harvest index; number of plants grown per area; number and size of harvested organs per plant and per area; number of plants per growing area (density); number of harvested organs in field; total leaf area; carbon assimilation and carbon partitioning (the distribution/allocation of carbon within the plant); resistance to shade; number of harvestable organs (e.g. seeds), seeds per pod, weight per seed; and modified architecture [such as increase stalk diameter, thickness or improvement of physical properties (e.g. elasticity)].

As used herein the phrase “seed yield” refers to the number or weight of the seeds per plant, seeds per pod, or per growing area or to the weight of a single seed, or to the oil extracted per seed. Hence seed yield can be affected by seed dimensions (e.g., length, width, perimeter, area and/or volume), number of (filled) seeds and seed filling rate and by seed oil content. Hence increase seed yield per plant could affect the economic benefit one can obtain from the plant in a certain growing area and/or growing time; and increase seed yield per growing area could be achieved by increasing seed yield per plant, and/or by increasing number of plants grown on the same given area.

The term “seed” (also referred to as “grain” or “kernel”) as used herein refers to a small embryonic plant enclosed in a covering called the seed coat (usually with some stored food), the product of the ripened ovule of gymnosperm and angiosperm plants which occurs after fertilization and some growth within the mother plant.

The phrase “oil content” as used herein refers to the amount of lipids in a given plant organ, either the seeds (seed oil content) or the vegetative portion of the plant (vegetative oil content) and is typically expressed as percentage of dry weight (10% humidity of seeds) or wet weight (for vegetative portion).

It should be noted that oil content is affected by intrinsic oil production of a tissue (e.g., seed, vegetative portion), as well as the mass or size of the oil-producing tissue per plant or per growth period.

In one embodiment, increase in oil content of the plant can be achieved by increasing the size/mass of a plant's tissue(s) which comprise oil per growth period. Thus, increased oil content of a plant can be achieved by increasing the yield, growth rate, biomass and vigor of the plant.

As used herein the phrase “plant biomass” refers to the amount (e.g., measured in grams of air-dry tissue) of a tissue produced from the plant in a growing season, which could also determine or affect the plant yield or the yield per growing area. An increase in plant biomass can be in the whole plant or in parts thereof such as aboveground (harvestable) parts, vegetative biomass, roots and seeds.

As used herein the phrase “growth rate” refers to the increase in plant organ/tissue size per time (can be measured in cm² per day or cm/day).

As used herein the phrase “photosynthetic capacity” (also known as “A_(max)”) is a measure of the maximum rate at which leaves are able to fix carbon during photosynthesis. It is typically measured as the amount of carbon dioxide that is fixed per square meter per second, for example as μmol m⁻² sec⁻¹. Plants are able to increase their photosynthetic capacity by several modes of action, such as by increasing the total leaves area (e.g., by increase of leaves area, increase in the number of leaves, and increase in plant's vigor, e.g., the ability of the plant to grow new leaves along time course) as well as by increasing the ability of the plant to efficiently execute carbon fixation in the leaves. Hence, the increase in total leaves area can be used as a reliable measurement parameter for photosynthetic capacity increment.

As used herein the phrase “plant vigor” refers to the amount (measured by weight) of tissue produced by the plant in a given time. Hence increased vigor could determine or affect the plant yield or the yield per growing time or growing area. In addition, early vigor (seed and/or seedling) results in improved field stand.

Improving early vigor is an important objective of modern rice breeding programs in both temperate and tropical rice cultivars. Long roots are important for proper soil anchorage in water-seeded rice. Where rice is sown directly into flooded fields, and where plants must emerge rapidly through water, longer shoots are associated with vigour. Where drill-seeding is practiced, longer mesocotyls and coleoptiles are important for good seedling emergence. The ability to engineer early vigor into plants would be of great importance in agriculture. For example, poor early vigor has been a limitation to the introduction of maize (Zea mays L.) hybrids based on Corn Belt germplasm in the European Atlantic.

It should be noted that a plant yield can be determined under stress (e.g., abiotic stress, nitrogen-limiting conditions) and/or non-stress (normal) conditions.

As used herein, the phrase “non-stress conditions” refers to the growth conditions (e.g., water, temperature, light-dark cycles, humidity, salt concentration, fertilizer concentration in soil, nutrient supply such as nitrogen, phosphorous and/or potassium), that do not significantly go beyond the everyday climatic and other abiotic conditions that plants may encounter, and which allow optimal growth, metabolism, reproduction and/or viability of a plant at any stage in its life cycle (e.g., in a crop plant from seed to a mature plant and back to seed again). Persons skilled in the art are aware of normal soil conditions and climatic conditions for a given plant in a given geographic location. It should be noted that while the non-stress conditions may include some mild variations from the optimal conditions (which vary from one type/species of a plant to another), such variations do not cause the plant to cease growing without the capacity to resume growth.

The phrase “abiotic stress” as used herein refers to any adverse effect on metabolism, growth, reproduction and/or viability of a plant. Accordingly, abiotic stress can be induced by suboptimal environmental growth conditions such as, for example, salinity, osmotic stress, water deprivation, drought, flooding, freezing, low or high temperature, heavy metal toxicity, anaerobiosis, nutrient deficiency (e.g., nitrogen deficiency or limited nitrogen), atmospheric pollution or UV irradiation. The implications of abiotic stress are discussed in the Background section.

The phrase “abiotic stress tolerance” as used herein refers to the ability of a plant to endure an abiotic stress without suffering a substantial alteration in metabolism, growth, productivity and/or viability.

Plants are subject to a range of environmental challenges. Several of these, including salt stress, general osmotic stress, drought stress and freezing stress, have the ability to impact whole plant and cellular water availability. Not surprisingly, then, plant responses to this collection of stresses are related. Zhu (2002) Ann. Rev. Plant Biol. 53: 247-273 et al. note that “most studies on water stress signaling have focused on salt stress primarily because plant responses to salt and drought are closely related and the mechanisms overlap”. Many examples of similar responses and pathways to this set of stresses have been documented. For example, the CBF transcription factors have been shown to condition resistance to salt, freezing and drought (Kasuga et al. (1999) Nature Biotech. 17: 287-291). The Arabidopsis rd29B gene is induced in response to both salt and dehydration stress, a process that is mediated largely through an ABA signal transduction process (Uno et al. (2000) Proc. Natl. Acad. Sci. USA 97: 11632-11637), resulting in altered activity of transcription factors that bind to an upstream element within the rd29B promoter. In Mesembryanthemum crystallinum (ice plant), Patharker and Cushman have shown that a calcium-dependent protein kinase (McCDPK1) is induced by exposure to both drought and salt stresses (Patharker and Cushman (2000) Plant J. 24: 679-691). The stress-induced kinase was also shown to phosphorylate a transcription factor, presumably altering its activity, although transcript levels of the target transcription factor are not altered in response to salt or drought stress. Similarly, Saijo et al. demonstrated that a rice salt/drought-induced calmodulin-dependent protein kinase (OsCDPK7) conferred increased salt and drought tolerance to rice when overexpressed (Saijo et al. (2000) Plant J. 23: 319-327).

Exposure to dehydration invokes similar survival strategies in plants as does freezing stress (see, for example, Yelenosky (1989) Plant Physiol 89: 444-451) and drought stress induces freezing tolerance (see, for example, Siminovitch et al. (1982) Plant Physiol 69: 250-255; and Guy et al. (1992) Planta 188: 265-270). In addition to the induction of cold-acclimation proteins, strategies that allow plants to survive in low water conditions may include, for example, reduced surface area, or surface oil or wax production. In another example increased solute content of the plant prevents evaporation and water loss due to heat, drought, salinity, osmoticum, and the like therefore providing a better plant tolerance to the above stresses.

It will be appreciated that some pathways involved in resistance to one stress (as described above), will also be involved in resistance to other stresses, regulated by the same or homologous genes. Of course, the overall resistance pathways are related, not identical, and therefore not all genes controlling resistance to one stress will control resistance to the other stresses. Nonetheless, if a gene conditions resistance to one of these stresses, it would be apparent to one skilled in the art to test for resistance to these related stresses. Methods of assessing stress resistance are further provided in the Examples section which follows.

As used herein the phrase “water use efficiency (WUE)” refers to the level of organic matter produced per unit of water consumed by the plant, i.e., the dry weight of a plant in relation to the plant's water use, e.g., the biomass produced per unit transpiration.

As used herein the phrase “fertilizer use efficiency” refers to the metabolic process(es) which lead to an increase in the plant's yield, biomass, vigor, and growth rate per fertilizer unit applied. The metabolic process can be the uptake, spread, absorbent, accumulation, relocation (within the plant) and use of one or more of the minerals and organic moieties absorbed by the plant, such as nitrogen, phosphates and/or potassium.

As used herein the phrase “fertilizer-limiting conditions” refers to growth conditions which include a level (e.g., concentration) of a fertilizer applied which is below the level needed for normal plant metabolism, growth, reproduction and/or viability.

As used herein the phrase “nitrogen use efficiency (NUE)” refers to the metabolic process(es) which lead to an increase in the plant's yield, biomass, vigor, and growth rate per nitrogen unit applied. The metabolic process can be the uptake, spread, absorbent, accumulation, relocation (within the plant) and use of nitrogen absorbed by the plant.

As used herein the phrase “nitrogen-limiting conditions” refers to growth conditions which include a level (e.g., concentration) of nitrogen (e.g., ammonium or nitrate) applied which is below the level needed for normal plant metabolism, growth, reproduction and/or viability.

Improved plant NUE and FUE is translated in the field into either harvesting similar quantities of yield, while implementing less fertilizers, or increased yields gained by implementing the same levels of fertilizers. Thus, improved NUE or FUE has a direct effect on plant yield in the field. Thus, the polynucleotides and polypeptides of some embodiments of the invention positively affect plant yield, seed yield, and plant biomass. In addition, the benefit of improved plant NUE will certainly improve crop quality and biochemical constituents of the seed such as protein yield and oil yield.

It should be noted that improved ABST will confer plants with improved vigor also under non-stress conditions, resulting in crops having improved biomass and/or yield e.g., elongated fibers for the cotton industry, higher oil content.

The term “fiber” is usually inclusive of thick-walled conducting cells such as vessels and tracheids and to fibrillar aggregates of many individual fiber cells. Hence, the term “fiber” refers to (a) thick-walled conducting and non-conducting cells of the xylem; (b) fibers of extraxylary origin, including those from phloem, bark, ground tissue, and epidermis; and (c) fibers from stems, leaves, roots, seeds, and flowers or inflorescences (such as those of Sorghum vulgare used in the manufacture of brushes and brooms).

Example of fiber producing plants, include, but are not limited to, agricultural crops such as cotton, silk cotton tree (Kapok, Ceiba pentandra), desert willow, creosote bush, winterfat, balsa, kenaf, roselle, jute, sisal abaca, flax, corn, sugar cane, hemp, ramie, kapok, coir, bamboo, spanish moss and Agave spp. (e.g. sisal).

As used herein the phrase “fiber quality” refers to at least one fiber parameter which is agriculturally desired, or required in the fiber industry (further described hereinbelow). Examples of such parameters, include but are not limited to, fiber length, fiber strength, fiber fitness, fiber weight per unit length, maturity ratio and uniformity (further described hereinbelow).

Cotton fiber (lint) quality is typically measured according to fiber length, strength and fineness. Accordingly, the lint quality is considered higher when the fiber is longer, stronger and finer.

As used herein the phrase “fiber yield” refers to the amount or quantity of fibers produced from the fiber producing plant.

As used herein the term “increasing” refers to at least about 2%, at least about 3%, at least about 4%, at least about 5%, at least about 10%, at least about 15%, at least about 20%, at least about 30%, at least about 40%, at least about 50%, at least about 60%, at least about 70%, at least about 80%, increase in fertilizer use efficiency (e.g., nitrogen use efficiency), yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of a plant as compared to a native plant or a wild type plant [i.e., a plant not modified with the biomolecules (polynucleotide or polypeptides) of the invention, e.g., a non-transformed plant of the same species which is grown under the same (e.g., identical) growth conditions].

The phrase “expressing within the plant an exogenous polynucleotide” as used herein refers to upregulating the expression level of an exogenous polynucleotide within the plant by introducing the exogenous polynucleotide into a plant cell or plant and expressing by recombinant means, as further described herein below.

As used herein “expressing” refers to expression at the mRNA and optionally polypeptide level.

As used herein, the phrase “exogenous polynucleotide” refers to a heterologous nucleic acid sequence which may not be naturally expressed within the plant (e.g., a nucleic acid sequence from a different species) or which overexpression in the plant is desired. The exogenous polynucleotide may be introduced into the plant in a stable or transient manner, so as to produce a ribonucleic acid (RNA) molecule and/or a polypeptide molecule. It should be noted that the exogenous polynucleotide may comprise a nucleic acid sequence which is identical or partially homologous to an endogenous nucleic acid sequence of the plant.

The term “endogenous” as used herein refers to any polynucleotide or polypeptide which is present and/or naturally expressed within a plant or a cell thereof.

According to some embodiments of the invention, the exogenous polynucleotide of the invention comprises a nucleic acid sequence encoding a polypeptide having an amino acid sequence at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more say 100% homologous to the amino acid sequence selected from the group consisting of SEQ ID NOs: 202-219, 221-292, 295-327, 4064-4175, 4177-4210, 4212-4580, 4582-4603, 4605-4749, 4751-4778, 4780-5223, 5225-5493, 5522-5807, 5812, 5815-5816, 5828-6679, 6689-6690, 6708-6785, and 6792-6893.

Homologous sequences include both orthologous and paralogous sequences. The term “paralogous” relates to gene-duplications within the genome of a species leading to paralogous genes. The term “orthologous” relates to homologous genes in different organisms due to ancestral relationship. Thus, orthologs are evolutionary counterparts derived from a single ancestral gene in the last common ancestor of given two species (Koonin EV and Galperin MY (Sequence—Evolution—Function: Computational Approaches in Comparative Genomics. Boston: Kluwer Academic; 2003. Chapter 2, Evolutionary Concept in Genetics and Genomics. Available from: ncbi (dot) nlm (dot) nih (dot) gov/books/NBK20255) and therefore have great likelihood of having the same function.

One option to identify orthologues in monocot plant species is by performing a reciprocal blast search. This may be done by a first blast involving blasting the sequence-of-interest against any sequence database, such as the publicly available NCBI database which may be found at: ncbi (dot) nlm (dot) nih (dot) gov. If orthologues in rice were sought, the sequence-of-interest would be blasted against, for example, the 28,469 full-length cDNA clones from Oryza sativa Nipponbare available at NCBI. The blast results may be filtered. The full-length sequences of either the filtered results or the non-filtered results are then blasted back (second blast) against the sequences of the organism from which the sequence-of-interest is derived. The results of the first and second blasts are then compared. An orthologue is identified when the sequence resulting in the highest score (best hit) in the first blast identifies in the second blast the query sequence (the original sequence-of-interest) as the best hit. Using the same rational a paralogue (homolog to a gene in the same organism) is found. In case of large sequence families, the ClustalW program may be used [ebi (dot) ac (dot) uk/Tools/clustalw2/index (dot) html], followed by a neighbor-joining tree (wikipedia (dot) org/wiki/Neighbor-joining) which helps visualizing the clustering.

Homology (e.g., percent homology, sequence identity+sequence similarity) can be determined using any homology comparison software computing a pairwise sequence alignment.

As used herein, “sequence identity” or “identity” in the context of two nucleic acid or polypeptide sequences includes reference to the residues in the two sequences which are the same when aligned. When percentage of sequence identity is used in reference to proteins it is recognized that residue positions which are not identical often differ by conservative amino acid substitutions, where amino acid residues are substituted for other amino acid residues with similar chemical properties (e.g. charge or hydrophobicity) and therefore do not change the functional properties of the molecule. Where sequences differ in conservative substitutions, the percent sequence identity may be adjusted upwards to correct for the conservative nature of the substitution. Sequences which differ by such conservative substitutions are said to have “sequence similarity” or “similarity”. Means for making this adjustment are well-known to those of skill in the art. Typically this involves scoring a conservative substitution as a partial rather than a full mismatch, thereby increasing the percentage sequence identity. Thus, for example, where an identical amino acid is given a score of 1 and a non-conservative substitution is given a score of zero, a conservative substitution is given a score between zero and 1. The scoring of conservative substitutions is calculated, e.g., according to the algorithm of Henikoff S and Henikoff J G. [Amino acid substitution matrices from protein blocks. Proc. Natl. Acad. Sci. U.S.A. 1992, 89(22): 10915-9].

Identity (e.g., percent homology) can be determined using any homology comparison software, including for example, the BlastN software of the National Center of Biotechnology Information (NCBI) such as by using default parameters.

According to some embodiments of the invention, the identity is a global identity, i.e., an identity over the entire amino acid or nucleic acid sequences of the invention and not over portions thereof.

According to some embodiments of the invention, the term “homology” or “homologous” refers to identity of two or more nucleic acid sequences; or identity of two or more amino acid sequences; or the identity of an amino acid sequence to one or more nucleic acid sequence.

According to some embodiments of the invention, the homology is a global homology, i.e., an homology over the entire amino acid or nucleic acid sequences of the invention and not over portions thereof.

The degree of homology or identity between two or more sequences can be determined using various known sequence comparison tools. Following is a non-limiting description of such tools which can be used along with some embodiments of the invention.

Pairwise global alignment was defined by S. B. Needleman and C. D. Wunsch, “A general method applicable to the search of similarities in the amino acid sequence of two proteins” Journal of Molecular Biology, 1970, pages 443-53, volume 48).

For example, when starting from a polypeptide sequence and comparing to other polypeptide sequences, the EMBOSS-6.0.1 Needleman-Wunsch algorithm (available from emboss(dot)sourceforge(dot)net/apps/cvs/emboss/apps/needle(dot)html) can be used to find the optimum alignment (including gaps) of two sequences along their entire length—a “Global alignment”. Default parameters for Needleman-Wunsch algorithm (EMBOSS-6.0.1) include: gapopen=10; gapextend=0.5; datafile=EBLOSUM62; brief=YES.

According to some embodiments of the invention, the parameters used with the EMBOSS-6.0.1 tool (for protein-protein comparison) include: gapopen=8; gapextend=2; datafile=EBLOSUM62; brief=YES.

According to some embodiments of the invention, the threshold used to determine homology using the EMBOSS-6.0.1 Needleman-Wunsch algorithm is 80%, 81%, 82%, 83%, 84%, 85%, 86%, 87%, 88%, 89%, 90%, 91%, 92%, 93%, 94%, 95%, 96%, 97%, 98%, 99%, or 100%.

When starting from a polypeptide sequence and comparing to polynucleotide sequences, the OneModel FramePlus algorithm [Halperin, E., Faigler, S. and Gill-More, R. (1999)—FramePlus: aligning DNA to protein sequences. Bioinformatics, 15, 867-873) (available from biocceleration(dot)com/Products(dot)html] can be used with following default parameters: model=frame+_p2n.model mode=local.

According to some embodiments of the invention, the parameters used with the OneModel FramePlus algorithm are model=frame+_p2n.model, mode=qglobal.

According to some embodiments of the invention, the threshold used to determine homology using the OneModel FramePlus algorithm is 80%, 81%, 82%, 83%, 84%, 85%, 86%, 87%, 88%, 89%, 90%, 91%, 92%, 93%, 94%, 95%, 96%, 97%, 98%, 99%, or 100%.

When starting with a polynucleotide sequence and comparing to other polynucleotide sequences the EMBOSS-6.0.1 Needleman-Wunsch algorithm (available from emboss(dot)sourceforge(dot)net/apps/cvs/emboss/apps/needle(dot)html) can be used with the following default parameters: (EMBOSS-6.0.1) gapopen=10; gapextend=0.5; datafile=EDNAFULL; brief=YES.

According to some embodiments of the invention, the parameters used with the EMBOSS-6.0.1 Needleman-Wunsch algorithm are gapopen=10; gapextend=0.2; datafile=EDNAFULL; brief=YES.

According to some embodiments of the invention, the threshold used to determine homology using the EMBOSS-6.0.1 Needleman-Wunsch algorithm for comparison of polynucleotides with polynucleotides is 80%, 81%, 82%, 83%, 84%, 85%, 86%, 87%, 88%, 89%, 90%, 91%, 92%, 93%, 94%, 95%, 96%, 97%, 98%, 99%, or 100%.

According to some embodiment, determination of the degree of homology further requires employing the Smith-Waterman algorithm (for protein-protein comparison or nucleotide-nucleotide comparison).

Default parameters for GenCore 6.0 Smith-Waterman algorithm include: model=sw.model.

According to some embodiments of the invention, the threshold used to determine homology using the Smith-Waterman algorithm is 80%, 81%, 82%, 83%, 84%, 85%, 86%, 87%, 88%, 89%, 90%, 91%, 92%, 93%, 94%, 95%, 96%, 97%, 98%, 99%, or 100%.

According to some embodiments of the invention, the global homology is performed on sequences which are pre-selected by local homology to the polypeptide or polynucleotide of interest (e.g., 60% identity over 60% of the sequence length), prior to performing the global homology to the polypeptide or polynucleotide of interest (e.g., 80% global homology on the entire sequence). For example, homologous sequences are selected using the BLAST software with the Blastp and tBlastn algorithms as filters for the first stage, and the needle (EMBOSS package) or Frame+ algorithm alignment for the second stage. Local identity (Blast alignments) is defined with a very permissive cutoff−60% Identity on a span of 60% of the sequences lengths because it is used only as a filter for the global alignment stage. In this specific embodiment (when the local identity is used), the default filtering of the Blast package is not utilized (by setting the parameter “-F F”).

In the second stage, homologs are defined based on a global identity of at least 80% to the core gene polypeptide sequence.

According to some embodiments of the invention, two distinct forms for finding the optimal global alignment for protein or nucleotide sequences are used:

1. Between Two Proteins (Following the Blastp Filter):

EMBOSS-6.0.1 Needleman-Wunsch algorithm with the following modified parameters: gapopen=8 gapextend=2. The rest of the parameters are unchanged from the default options listed here:

Standard (Mandatory) qualifiers: [-asequence] sequence Sequence filename and optional format, or reference (input USA)

[-bsequence] seqall Sequence(s) filename and optional format, or reference (input USA)

-gapopen float [10.0 for any sequence]. The gap open penalty is the score taken away when a gap is created. The best value depends on the choice of comparison matrix. The default value assumes you are using the EBLOSUM62 matrix for protein sequences, and the EDNAFULL matrix for nucleotide sequences. (Floating point number from 1.0 to 100.0)

-gapextend float [0.5 for any sequence]. The gap extension, penalty is added to the standard gap penalty for each base or residue in the gap. This is how long gaps are penalized. Usually you will expect a few long gaps rather than many short gaps, so the gap extension penalty should be lower than the gap penalty. An exception is where one or both sequences are single reads with possible sequencing errors in which case you would expect many single base gaps. You can get this result by setting the gap open penalty to zero (or very low) and using the gap extension penalty to control gap scoring. (Floating point number from 0.0 to 10.0)

[-outfile] align [*.needle] Output alignment file name

Additional (Optional) qualifiers:

-datafile matrixf [EBLOSUM62 for protein, EDNAFULL for DNA]. This is the scoring matrix file used when comparing sequences. By default it is the file ‘EBLOSUM62’ (for proteins) or the file ‘EDNAFULL’ (for nucleic sequences). These files are found in the ‘data’ directory of the EMBOSS installation. Advanced (Unprompted) qualifiers:

Advanced (Unprompted) qualifiers: -[no]brief boolean [Y] Brief identity and similarity Associated qualifiers: ″-asequence″ associated qualifiers -sbegin1 integer Start of the sequence to be used -send1 integer End of the sequence to be used -sreverse1 boolean Reverse (if DNA) -sask1 boolean Ask for begin/end/reverse -snucleotide1 boolean Sequence is nucleotide -sprotein1 boolean Sequence is protein -slower1 boolean Make lower case -supper1 boolean Make upper case -sformat1 string Input sequence format -sdbname1 string Database name -sid1 string Entryname -ufo1 string UFO features -fformat1 string Features format -fopenfile1 string Features file name ″-bsequence″ associated qualifiers -sbegin2 integer Start of each sequence to be used -send2 integer End of each sequence to be used -sreverse2 boolean Reverse (if DNA) -sask2 boolean Ask for begin/end/reverse -snucleotide2 boolean Sequence is nucleotide -sprotein2 boolean Sequence is protein -slower2 boolean Make lower case -supper2 boolean Make upper case -sformat2 string Input sequence format -sdbname2 string Database name -sid2 string Entryname -ufo2 string UFO features -fformat2 string Features format -fopenfile2 string Features file name ″-outfile″ associated qualifiers -aformat3 string Alignment format -aextension3 string File name extension -adirectory3 string Output directory -aname3 string Base file name -awidth3 integer Alignment width -aaccshow3 boolean Show accession number in the header -adesshow3 boolean Show description in the header -ausashow3 boolean Show the full USA in the alignment -aglobal3 boolean Show the full sequence in alignment

-[no]brief boolean [Y] Brief identity and similarity

Associated qualifiers:

General qualifiers:

-auto boolean Turn off prompts -stdout boolean Write first file to standard output -filter boolean Read first file from standard input, write first file to standard output -options boolean Prompt for standard and additional values -debug boolean Write debug output to program.dbg -verbose boolean Report some/full command line options -help boolean Report command line options. More information on associated and general qualifiers can be found with -help -verbose -warning boolean Report warnings -error boolean Report errors -fatal boolean Report fatal errors -die boolean Report dying program messages

2. Between a Protein Sequence and a Nucleotide Sequence (Following the Tblastn Filter):

GenCore 6.0 OneModel application utilizing the Frame+algorithm with the following parameters: model=frame+_p2n.model mode=qglobal-q=protein.sequence-db=nucleotide.sequence. The rest of the parameters are unchanged from the default options:

Usage:

om-model=<model_fname>[-q=]query [-db=]database [options] -model=<model_fname> Specifies the model that you want to run. All models supplied by Compugen are located in the directory $CGNROOT/models/. Valid command line parameters: -dev=<dev_name> Selects the device to be used by the application.

Valid devices are:

-   -   bic—Bioccelerator (valid for SW, XSW, FRAME_N2P, and FRAME_P2N         models).     -   xlg—BioXL/G (valid for all models except XSW).     -   xlp—BioXL/P (valid for SW, FRAME+_N2P, and FRAME_P2N models).     -   xlh—BioXL/H (valid for SW, FRAME+_N2P, and FRAME_P2N models).     -   soft—Software device (for all models).         -q=<query> Defines the query set. The query can be a sequence         file or a database reference. You can specify a query by its         name or by accession number. The format is detected         automatically. However, you may specify a format using the -qfmt         parameter. If you do not specify a query, the program prompts         for one. If the query set is a database reference, an output         file is produced for each sequence in the query.         -db=<database name> Chooses the database set. The database set         can be a sequence file or a database reference. The database         format is detected automatically. However, you may specify a         format using -dfmt parameter.         -qacc Add this parameter to the command line if you specify         query using accession numbers.         -dacc Add this parameter to the command line if you specify a         database using accession numbers.         -dfmt/-qfmt=<format_type> Chooses the database/query format         type. Possible formats are:     -   fasta—fasta with seq type auto-detected.     -   fastap—fasta protein seq.     -   fastan—fasta nucleic seq.     -   gcg—gcg format, type is auto-detected.     -   gcg9seq—gcg9 format, type is auto-detected.     -   gcg9seqp—gcg9 format protein seq.     -   gcg9seqn—gcg9 format nucleic seq.     -   nbrf—nbrf seq, type is auto-detected.     -   nbrfp—nbrf protein seq.     -   nbrfn—nbrf nucleic seq.     -   embl—embl and swissprot format.     -   genbank—genbank format (nucleic).     -   blast—blast format.     -   nbrf_gcg—nbrf-gcg seq, type is auto-detected.     -   nbrf_gcgp—nbrf-gcg protein seq.     -   nbrf_gcgn—nbrf-gcg nucleic seq.     -   raw—raw ascii sequence, type is auto-detected.     -   rawp—raw ascii protein sequence.     -   rawn—raw ascii nucleic sequence.     -   pir—pir codata format, type is auto-detected.     -   profile—gcg profile (valid only for -qfmt     -   in SW, XSW, FRAME_P2N, and FRAME+_P2N).         -out=<out_fname> The name of the output file.         -suffix=<name> The output file name suffix.         -gapop=<n> Gap open penalty. This parameter is not valid for         FRAME+. For FrameSearch the default is 12.0. For other searches         the default is 10.0.         -gapext=<n> Gap extend penalty. This parameter is not valid for         FRAME+. For FrameSearch the default is 4.0. For other models:         the default for protein searches is 0.05, and the default for         nucleic searches is 1.0.         -qgapop=<n> The penalty for opening a gap in the query sequence.         The default is 10.0. Valid for XSW.         -qgapext=<n> The penalty for extending a gap in the query         sequence. The default is 0.05. Valid for XSW.         -start=<n> The position in the query sequence to begin the         search.         -end=<n> The position in the query sequence to stop the search.         -qtrans Performs a translated search, relevant for a nucleic         query against a protein database. The nucleic query is         translated to six reading frames and a result is given for each         frame.

Valid for SW and XSW.

-dtrans Performs a translated search, relevant for a protein query against a DNA database. Each database entry is translated to six reading frames and a result is given for each frame.

Valid for SW and XSW.

Note: “-qtrans” and “-dtrans” options are mutually exclusive. -matrix=<matrix_file> Specifies the comparison matrix to be used in the search. The matrix must be in the BLAST format. If the matrix file is not located in $CGNROOT/tables/matrix, specify the full path as the value of the -matrix parameter. -trans=<transtab name> Translation table. The default location for the table is $CGNROOT/tables/trans. -onestrand Restricts the search to just the top strand of the query/database nucleic sequence. -list=<n> The maximum size of the output hit list. The default is 50. -docalign=<n> The number of documentation lines preceding each alignment. The default is 10. -thr_score=<score_name> The score that places limits on the display of results. Scores that are smaller than -thr_min value or larger than -thr_max value are not shown. Valid options are: quality.

-   -   zscore.     -   escore.         -thr_max=<n> The score upper threshold. Results that are larger         than -thr_max value are not shown.         -thr_min=<n> The score lower threshold. Results that are lower         than -thr_min value are not shown.         -align=<n> The number of alignments reported in the output file.         -noalign Do not display alignment.         Note: “-align” and “-noalign” parameters are mutually exclusive.         -outfmt=<format_name> Specifies the output format type. The         default format is PFS. Possible values are:     -   PFS—PFS text format     -   FASTA—FASTA text format     -   BLAST—BLAST text format         -nonorm Do not perform score normalization.         -norm=<norm_name> Specifies the normalization method. Valid         options are:     -   log—logarithm normalization.     -   std—standard normalization.     -   stat—Pearson statistical method.         Note: “-nonorm” and “-norm” parameters cannot be used together.         Note: Parameters -xgapop, -xgapext, -fgapop, -fgapext, -ygapop,         -ygapext, -delop, and -delext apply only to FRAME+.         -xgapop=<n> The penalty for opening a gap when inserting a codon         (triplet). The default is 12.0.         -xgapext=<n> The penalty for extending a gap when inserting a         codon (triplet). The default is 4.0.         -ygapop=<n> The penalty for opening a gap when deleting an amino         acid. The default is 12.0.         -ygapext=<n> The penalty for extending a gap when deleting an         amino acid. The default is 4.0.         -fgapop=<n> The penalty for opening a gap when inserting a DNA         base. The default is 6.0.         -fgapext=<n> The penalty for extending a gap when inserting a         DNA base. The default is 7.0.         -delop=<n> The penalty for opening a gap when deleting a DNA         base. The default is 6.0.         -delext=<n> The penalty for extending a gap when deleting a DNA         base. The default is 7.0.         -silent No screen output is produced.         -host=<host_name> The name of the host on which the server runs.         By default, the application uses the host specified in the file         $CGNROOT/cgnhosts.         -wait Do not go to the background when the device is busy. This         option is not relevant for the Parseq or Soft pseudo device.         -batch Run the job in the background. When this option is         specified, the file “$CGNROOT/defaults/batch.defaults” is used         for choosing the batch command. If this file does not exist, the         command “at now” is used to run the job.         Note:“-batch” and “-wait” parameters are mutually exclusive.         -version Prints the software version number.         -help Displays this help message. To get more specific help         type:

“om-model=<model_fname>-help”.

According to some embodiments the homology is a local homology or a local identity.

Local alignments tools include, but are not limited to the BlastP, BlastN, BlastX or TBLASTN software of the National Center of Biotechnology Information (NCBI), FASTA, and the Smith-Waterman algorithm.

A tblastn search allows the comparison between a protein sequence to the six-frame translations of a nucleotide database. It can be a very productive way of finding homologous protein coding regions in unannotated nucleotide sequences such as expressed sequence tags (ESTs) and draft genome records (HTG), located in the BLAST databases est and htgs, respectively.

Default parameters for blastp include: Max target sequences: 100; Expected threshold: e⁻⁵; Word size: 3; Max matches in a query range: 0; Scoring parameters: Matrix—BLOSUM62; filters and masking: Filter—low complexity regions.

Local alignments tools, which can be used include, but are not limited to, the tBLASTX algorithm, which compares the six-frame conceptual translation products of a nucleotide query sequence (both strands) against a protein sequence database. Default parameters include: Max target sequences: 100; Expected threshold: 10; Word size: 3; Max matches in a query range: 0; Scoring parameters: Matrix—BLOSUM62; filters and masking: Filter—low complexity regions.

According to some embodiments of the invention, the exogenous polynucleotide of the invention encodes a polypeptide having an amino acid sequence at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more say 100% identical to the amino acid sequence selected from the group consisting of SEQ ID NOs:202-219, 221-292, 295-327, 4064-4175, 4177-4210, 4212-4580, 4582-4603, 4605-4749, 4751-4778, 4780-5223, 5225-5493, 5522-5807, 5812, 5815-5816, 5828-6679, 6689-6690, 6708-6785, and 6792-6893.

According to some embodiments of the invention, the exogenous polynucleotide of the invention encodes a polypeptide having the amino acid sequence selected from the group consisting of SEQ ID NOs: 202-327 and 4064-6893.

According to some embodiments of the invention, the method of increasing fertilizer use efficiency (e.g., nitrogen use efficiency), yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of a plant, is effected by expressing within the plant an exogenous polynucleotide comprising a nucleic acid sequence encoding a polypeptide at least at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more say 100% identical to the amino acid sequence selected from the group consisting of SEQ ID NOs:202-219, 221-292, 295-327, 4064-4175, 4177-4210, 4212-4580, 4582-4603, 4605-4749, 4751-4778, 4780-5223, 5225-5493, 5522-5807, 5812, 5815-5816, 5828-6679, 6689-6690, 6708-6785, and 6792-6893, thereby increasing the fertilizer use efficiency (e.g., nitrogen use efficiency), yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of the plant.

According to some embodiments of the invention, the exogenous polynucleotide encodes a polypeptide consisting of the amino acid sequence set forth by SEQ ID NO: 202-327, 4064-6892 or 6893.

According to an aspect of some embodiments of the invention, the method of increasing fertilizer use efficiency (e.g., nitrogen use efficiency), yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of a plant, is effected by expressing within the plant an exogenous polynucleotide comprising a nucleic acid sequence encoding a polypeptide comprising an amino acid sequence selected from the group consisting of SEQ ID NOs: 202-327 and 4064-6893, thereby increasing the fertilizer use efficiency (e.g., nitrogen use efficiency), yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of the plant.

According to an aspect of some embodiments of the invention, there is provided a method of increasing fertilizer use efficiency (e.g., nitrogen use efficiency), yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of a plant, comprising expressing within the plant an exogenous polynucleotide comprising a nucleic acid sequence encoding a polypeptide selected from the group consisting of SEQ ID NOs: 202-327 and 4064-6893, thereby increasing the fertilizer use efficiency (e.g., nitrogen use efficiency), yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of the plant.

According to some embodiments of the invention, the exogenous polynucleotide encodes a polypeptide consisting of the amino acid sequence set forth by SEQ ID NO: 202-327, 4064-6892 or 6893.

According to some embodiments of the invention the exogenous polynucleotide comprises a nucleic acid sequence which is at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% identical to the nucleic acid sequence selected from the group consisting of SEQ ID NOs: 1-91, 94-201, 328-2317, 2320-2321, 2323, 2326-3835, 3838-3840, 3842-3843, 3848, 3850-3852, 3854, 3856-3953, and 3955-4062.

According to an aspect of some embodiments of the invention, there is provided a method of increasing fertilizer use efficiency (e.g., nitrogen use efficiency), yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of a plant, comprising expressing within the plant an exogenous polynucleotide comprising a nucleic acid sequence at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% identical to the nucleic acid sequence selected from the group consisting of SEQ ID NOs: 1-91, 94-201, 328-2317, 2320-2321, 2323, 2326-3835, 3838-3840, 3842-3843, 3848, 3850-3852, 3854, 3856-3953, and 3955-4062, thereby increasing the fertilizer use efficiency (e.g., nitrogen use efficiency), yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of the plant.

According to some embodiments of the invention the exogenous polynucleotide is at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% identical to the polynucleotide selected from the group consisting of SEQ ID NOs: 1-91, 94-201, 328-2317, 2320-2321, 2323, 2326-3835, 3838-3840, 3842-3843, 3848, 3850-3852, 3854, 3856-3953, and 3955-4062.

According to some embodiments of the invention the exogenous polynucleotide is set forth by SEQ ID NO: 1-201, 328-4061 or 4062.

According to some embodiments of the invention the exogenous polynucleotide is set forth by the nucleic acid sequence selected from the group consisting of SEQ ID NOs: 1-201 and 328-4062.

According to some embodiments of the invention the method of increasing fertilizer use efficiency (e.g., nitrogen use efficiency), yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of a plant further comprising selecting a plant having an increased nitrogen use efficiency, yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance as compared to the wild type plant of the same species which is grown under the same growth conditions.

It should be noted that selecting a transformed plant having an increased trait as compared to a native (or non-transformed) plant grown under the same growth conditions is performed by selecting for the trait, e.g., validating the ability of the transformed plant to exhibit the increased trait using well known assays (e.g., seedling analyses, greenhouse assays) as is further described herein below.

According to an aspect of some embodiments of the invention, there is provided a method of selecting a transformed plant having increased nitrogen use efficiency, yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance as compared to a wild type plant of the same species which is grown under the same growth conditions, the method comprising:

(a) providing plants transformed with an exogenous polynucleotide encoding a polypeptide comprising an amino acid sequence at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% homologous (e.g., having sequence similarity or sequence identity) to the amino acid sequence selected from the group consisting of SEQ ID NOs: 202-219, 221-292, 295-327, 4064-4175, 4177-4210, 4212-4580, 4582-4603, 4605-4749, 4751-4778, 4780-5223, 5225-5493, 5522-5807, 5812, 5815-5816, 5828-6679, 6689-6690, 6708-6785, and 6792-6893,

(b) selecting from the plants a plant having increased fertilizer use efficiency (e.g., nitrogen use efficiency), yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance,

thereby selecting the plant having increased fertilizer use efficiency (e.g., nitrogen use efficiency), yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance as compared to the wild type plant of the same species which is grown under the same growth conditions.

According to some embodiments of the invention the amino acid sequence is selected from the group consisting of SEQ ID NOs: 202-327 and 4064-6893.

According to an aspect of some embodiments of the invention, there is provided a method of selecting a transformed plant having increased fertilizer use efficiency (e.g., nitrogen use efficiency), yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance as compared to a wild type plant of the same species which is grown under the same growth conditions, the method comprising:

(a) providing plants transformed with an exogenous polynucleotide encoding a polypeptide comprising an amino acid sequence at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% identical to the nucleic acid sequence selected from the group consisting of SEQ ID NOs: 1-91, 94-201, 328-2317, 2320-2321, 2323, 2326-3835, 3838-3840, 3842-3843, 3848, 3850-3852, 3854, 3856-3953, and 3955-4062,

(b) selecting from the plants a plant having increased fertilizer use efficiency (e.g., nitrogen use efficiency), yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance (e.g., by selecting the plants for the increased trait),

thereby selecting the plant having increased fertilizer use efficiency (e.g., nitrogen use efficiency), yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance as compared to the wild type plant of the same species which is grown under the same growth conditions.

As used herein the term “polynucleotide” refers to a single or double stranded nucleic acid sequence which is isolated and provided in the form of an RNA sequence, a complementary polynucleotide sequence (cDNA), a genomic polynucleotide sequence and/or a composite polynucleotide sequences (e.g., a combination of the above).

The term “isolated” refers to at least partially separated from the natural environment e.g., from a plant cell.

As used herein the phrase “complementary polynucleotide sequence” refers to a sequence, which results from reverse transcription of messenger RNA using a reverse transcriptase or any other RNA dependent DNA polymerase. Such a sequence can be subsequently amplified in vivo or in vitro using a DNA dependent DNA polymerase.

As used herein the phrase “genomic polynucleotide sequence” refers to a sequence derived (isolated) from a chromosome and thus it represents a contiguous portion of a chromosome.

As used herein the phrase “composite polynucleotide sequence” refers to a sequence, which is at least partially complementary and at least partially genomic. A composite sequence can include some exonal sequences required to encode the polypeptide of the present invention, as well as some intronic sequences interposing therebetween. The intronic sequences can be of any source, including of other genes, and typically will include conserved splicing signal sequences. Such intronic sequences may further include cis acting expression regulatory elements.

Nucleic acid sequences encoding the polypeptides of the present invention may be optimized for expression. Examples of such sequence modifications include, but are not limited to, an altered G/C content to more closely approach that typically found in the plant species of interest, and the removal of codons atypically found in the plant species commonly referred to as codon optimization.

The phrase “codon optimization” refers to the selection of appropriate DNA nucleotides for use within a structural gene or fragment thereof that approaches codon usage within the plant of interest. Therefore, an optimized gene or nucleic acid sequence refers to a gene in which the nucleotide sequence of a native or naturally occurring gene has been modified in order to utilize statistically-preferred or statistically-favored codons within the plant. The nucleotide sequence typically is examined at the DNA level and the coding region optimized for expression in the plant species determined using any suitable procedure, for example as described in Sardana et al. (1996, Plant Cell Reports 15:677-681). In this method, the standard deviation of codon usage, a measure of codon usage bias, may be calculated by first finding the squared proportional deviation of usage of each codon of the native gene relative to that of highly expressed plant genes, followed by a calculation of the average squared deviation. The formula used is: 1 SDCU=n=1 N [(Xn−Yn)/Yn]2/N, where Xn refers to the frequency of usage of codon n in highly expressed plant genes, where Yn to the frequency of usage of codon n in the gene of interest and N refers to the total number of codons in the gene of interest. A Table of codon usage from highly expressed genes of dicotyledonous plants is compiled using the data of Murray et al. (1989, Nuc Acids Res. 17:477-498).

One method of optimizing the nucleic acid sequence in accordance with the preferred codon usage for a particular plant cell type is based on the direct use, without performing any extra statistical calculations, of codon optimization Tables such as those provided on-line at the Codon Usage Database through the NIAS (National Institute of Agrobiological Sciences) DNA bank in Japan (kazusa (dot) or (dot) jp/codon/). The Codon Usage Database contains codon usage tables for a number of different species, with each codon usage Table having been statistically determined based on the data present in Genbank.

By using the above Tables to determine the most preferred or most favored codons for each amino acid in a particular species (for example, rice), a naturally-occurring nucleotide sequence encoding a protein of interest can be codon optimized for that particular plant species. This is effected by replacing codons that may have a low statistical incidence in the particular species genome with corresponding codons, in regard to an amino acid, that are statistically more favored. However, one or more less-favored codons may be selected to delete existing restriction sites, to create new ones at potentially useful junctions (5′ and 3′ ends to add signal peptide or termination cassettes, internal sites that might be used to cut and splice segments together to produce a correct full-length sequence), or to eliminate nucleotide sequences that may negatively effect mRNA stability or expression.

The naturally-occurring encoding nucleotide sequence may already, in advance of any modification, contain a number of codons that correspond to a statistically-favored codon in a particular plant species. Therefore, codon optimization of the native nucleotide sequence may comprise determining which codons, within the native nucleotide sequence, are not statistically-favored with regards to a particular plant, and modifying these codons in accordance with a codon usage table of the particular plant to produce a codon optimized derivative. A modified nucleotide sequence may be fully or partially optimized for plant codon usage provided that the protein encoded by the modified nucleotide sequence is produced at a level higher than the protein encoded by the corresponding naturally occurring or native gene. Construction of synthetic genes by altering the codon usage is described in for example PCT Patent Application 93/07278.

According to some embodiments of the invention, the exogenous polynucleotide is a non-coding RNA.

As used herein the phrase ‘non-coding RNA” refers to an RNA molecule which does not encode an amino acid sequence (a polypeptide). Examples of such non-coding RNA molecules include, but are not limited to, an antisense RNA, a pre-miRNA (precursor of a microRNA), or a precursor of a Piwi-interacting RNA (piRNA).

Non-limiting examples of non-coding RNA polynucleotides are provided in SEQ ID NOs: 1929, 2601, 2900, 3004, 3937, and 4002.

Thus, the invention encompasses nucleic acid sequences described hereinabove; fragments thereof, sequences hybridizable therewith, sequences homologous thereto, sequences encoding similar polypeptides with different codon usage, altered sequences characterized by mutations, such as deletion, insertion or substitution of one or more nucleotides, either naturally occurring or man induced, either randomly or in a targeted fashion.

According to some embodiments of the invention, the exogenous polynucleotide encodes a polypeptide comprising an amino acid sequence at least 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% identical to the amino acid sequence of a naturally occurring plant orthologue of the polypeptide selected from the group consisting of SEQ ID NOs: 202-327 and 4064-6893.

According to some embodiments of the invention, the polypeptide comprising an amino acid sequence at least 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% identical to the amino acid sequence of a naturally occurring plant orthologue of the polypeptide selected from the group consisting of SEQ ID NOs: 202-327 and 4064-6893.

The invention provides an isolated polynucleotide comprising a nucleic acid sequence at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% identical to the polynucleotide selected from the group consisting of SEQ ID NOs: 1-91, 94-201, 328-2317, 2320-2321, 2323, 2326-3835, 3838-3840, 3842-3843, 3848, 3850-3852, 3854, 3856-3953, and 3955-4062.

According to some embodiments of the invention the nucleic acid sequence is capable of increasing fertilizer use efficiency (e.g., nitrogen use efficiency), yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, abiotic stress tolerance and/or water use efficiency of a plant.

According to some embodiments of the invention the isolated polynucleotide comprising the nucleic acid sequence selected from the group consisting of SEQ ID NOs: 1-201 and 328-4062.

According to some embodiments of the invention the isolated polynucleotide is set forth by SEQ ID NO: 1-201, 328-4061 or 4062.

The invention provides an isolated polynucleotide comprising a nucleic acid sequence encoding a polypeptide which comprises an amino acid sequence at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more say 100% homologous to the amino acid sequence selected from the group consisting of SEQ ID NOs: 202-219, 221-292, 295-327, 4064-4175, 4177-4210, 4212-4580, 4582-4603, 4605-4749, 4751-4778, 4780-5223, 5225-5493, 5522-5807, 5812, 5815-5816, 5828-6679, 6689-6690, 6708-6785, and 6792-6893.

According to some embodiments of the invention the amino acid sequence is capable of increasing nitrogen use efficiency, fertilizer use efficiency, yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of a plant.

The invention provides an isolated polynucleotide comprising a nucleic acid sequence encoding a polypeptide which comprises the amino acid sequence selected from the group consisting of SEQ ID NOs: 202-327 and 4064-6893.

According to an aspect of some embodiments of the invention, there is provided a nucleic acid construct comprising the isolated polynucleotide of the invention, and a promoter for directing transcription of the nucleic acid sequence in a host cell.

The invention provides an isolated polypeptide comprising an amino acid sequence at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more say 100% homologous to an amino acid sequence selected from the group consisting of SEQ ID NOs: 202-219, 221-292, 295-327, 4064-4175, 4177-4210, 4212-4580, 4582-4603, 4605-4749, 4751-4778, 4780-5223, 5225-5493, 5522-5807, 5812, 5815-5816, 5828-6679, 6689-6690, 6708-6785, and 6792-6893.

According to some embodiments of the invention, the polypeptide comprising an amino acid sequence selected from the group consisting of SEQ ID NOs: 202-327 and 4064-6893.

According to some embodiments of the invention, the polypeptide is set forth by SEQ ID NO: 202-327, 4064-6892 or 6893.

The invention also encompasses fragments of the above described polypeptides and polypeptides having mutations, such as deletions, insertions or substitutions of one or more amino acids, either naturally occurring or man induced, either randomly or in a targeted fashion.

The term “plant” as used herein encompasses a whole plant, a grafted plant, ancestor(s) and progeny of the plants and plant parts, including seeds, shoots, stems, roots (including tubers), rootstock, scion, and plant cells, tissues and organs. The plant may be in any form including suspension cultures, embryos, meristematic regions, callus tissue, leaves, gametophytes, sporophytes, pollen, and microspores. Plants that are particularly useful in the methods of the invention include all plants which belong to the superfamily Viridiplantae, in particular monocotyledonous and dicotyledonous plants including a fodder or forage legume, ornamental plant, food crop, tree, or shrub selected from the list comprising Acacia spp., Acer spp., Actinidia spp., Aesculus spp., Agathis australis, Albizia amara, Alsophila tricolor, Andropogon spp., Arachis spp, Areca catechu, Astelia fragrans, Astragalus cicer, Baikiaea plurijuga, Betula spp., Brassica spp., Bruguiera gymnorrhiza, Burkea africana, Butea frondosa, Cadaba farinosa, Calliandra spp, Camellia sinensis, Canna indica, Capsicum spp., Cassia spp., Centroema pubescens, Chacoomeles spp., Cinnamomum cassia, Coffea arabica, Colophospermum mopane, Coronillia varia, Cotoneaster serotina, Crataegus spp., Cucumis spp., Cupressus spp., Cyathea dealbata, Cydonia oblonga, Cryptomeria japonica, Cymbopogon spp., Cynthea dealbata, Cydonia oblonga, Dalbergia monetaria, Davallia divaricata, Desmodium spp., Dicksonia squarosa, Dibeteropogon amplectens, Dioclea spp, Dolichos spp., Dorycnium rectum, Echinochloa pyramidalis, Ehraffia spp., Eleusine coracana, Eragrestis spp., Erythrina spp., Eucalypfus spp., Euclea schimperi, Eulalia vi/losa, Pagopyrum spp., Feijoa sellowlana, Fragaria spp., Flemingia spp, Freycinetia banksli, Geranium thunbergii, GinAgo biloba, Glycine javanica, Gliricidia spp, Gossypium hirsutum, Grevillea spp., Guibourtia coleosperma, Hedysarum spp., Hemaffhia altissima, Heteropogon contoffus, Hordeum vulgare, Hyparrhenia rufa, Hypericum erectum, Hypeffhelia dissolute, Indigo incamata, Iris spp., Leptarrhena pyrolifolia, Lespediza spp., Lettuca spp., Leucaena leucocephala, Loudetia simplex, Lotonus bainesli, Lotus spp., Macrotyloma axillare, Malus spp., Manihot esculenta, Medicago saliva, Metasequoia glyptostroboides, Musa sapientum, Nicotianum spp., Onobrychis spp., Ornithopus spp., Oryza spp., Peltophorum africanum, Pennisetum spp., Persea gratissima, Petunia spp., Phaseolus spp., Phoenix canariensis, Phormium cookianum, Photinia spp., Picea glauca, Pinus spp., Pisum sativam, Podocarpus totara, Pogonarthria fleckii, Pogonaffhria squarrosa, Populus spp., Prosopis cineraria, Pseudotsuga menziesii, Pterolobium stellatum, Pyrus communis, Quercus spp., Rhaphiolepsis umbellata, Rhopalostylis sapida, Rhus natalensis, Ribes grossularia, Ribes spp., Robinia pseudoacacia, Rosa spp., Rubus spp., Salix spp., Schyzachyrium sanguineum, Sciadopitys vefficillata, Sequoia sempervirens, Sequoiadendron giganteum, Sorghum bicolor, Spinacia spp., Sporobolus fimbriatus, Stiburus alopecuroides, Stylosanthos humilis, Tadehagi spp, Taxodium distichum, Themeda triandra, Trifolium spp., Triticum spp., Tsuga heterophylla, Vaccinium spp., Vicia spp., Vitis vinifera, Watsonia pyramidata, Zantedeschia aethiopica, Zea mays, amaranth, artichoke, asparagus, broccoli, Brussels sprouts, cabbage, canola, carrot, cauliflower, celery, collard greens, flax, kale, lentil, oilseed rape, okra, onion, potato, rice, soybean, straw, sugar beet, sugar cane, sunflower, tomato, squash tea, maize, wheat, barley, rye, oat, peanut, pea, lentil and alfalfa, cotton, rapeseed, canola, pepper, sunflower, tobacco, eggplant, eucalyptus, a tree, an ornamental plant, a perennial grass and a forage crop. Alternatively algae and other non-Viridiplantae can be used for the methods of the present invention.

According to some embodiments of the invention, the plant used by the method of the invention is a crop plant such as rice, maize, wheat, barley, peanut, potato, sesame, olive tree, palm oil, banana, soybean, sunflower, canola, sugarcane, alfalfa, millet, leguminosae (bean, pea), flax, lupinus, rapeseed, tobacco, poplar and cotton.

According to some embodiments of the invention the plant is a dicotyledonous plant.

According to some embodiments of the invention the plant is a monocotyledonous plant.

According to some embodiments of the invention, there is provided a plant cell exogenously expressing the polynucleotide of some embodiments of the invention, the nucleic acid construct of some embodiments of the invention and/or the polypeptide of some embodiments of the invention.

According to some embodiments of the invention, expressing the exogenous polynucleotide of the invention within the plant is effected by transforming one or more cells of the plant with the exogenous polynucleotide, followed by generating a mature plant from the transformed cells and cultivating the mature plant under conditions suitable for expressing the exogenous polynucleotide within the mature plant.

According to some embodiments of the invention, the transformation is effected by introducing to the plant cell a nucleic acid construct which includes the exogenous polynucleotide of some embodiments of the invention and at least one promoter for directing transcription of the exogenous polynucleotide in a host cell (a plant cell). Further details of suitable transformation approaches are provided hereinbelow.

As mentioned, the nucleic acid construct according to some embodiments of the invention comprises a promoter sequence and the isolated polynucleotide of some embodiments of the invention.

According to some embodiments of the invention, the isolated polynucleotide is operably linked to the promoter sequence.

A coding nucleic acid sequence is “operably linked” to a regulatory sequence (e.g., promoter) if the regulatory sequence is capable of exerting a regulatory effect on the coding sequence linked thereto.

As used herein, the term “promoter” refers to a region of DNA which lies upstream of the transcriptional initiation site of a gene to which RNA polymerase binds to initiate transcription of RNA. The promoter controls where (e.g., which portion of a plant) and/or when (e.g., at which stage or condition in the lifetime of an organism) the gene is expressed.

According to some embodiments of the invention, the promoter is heterologous to the isolated polynucleotide and/or to the host cell.

As used herein the phrase “heterologous promoter” refers to a promoter from a different species or from the same species but from a different gene locus as of the isolated polynucleotide sequence.

Any suitable promoter sequence can be used by the nucleic acid construct of the present invention. Preferably the promoter is a constitutive promoter, a tissue-specific, or an abiotic stress-inducible promoter.

According to some embodiments of the invention, the promoter is a plant promoter, which is suitable for expression of the exogenous polynucleotide in a plant cell.

Suitable promoters for expression in wheat include, but are not limited to, Wheat SPA promoter (SEQ ID NO: 6894; Albanietal, Plant Cell, 9: 171-184, 1997, which is fully incorporated herein by reference), wheat LMW (SEQ ID NO: 6895 (longer LMW promoter), and SEQ ID NO: 6896 (LMW promoter) and HMW glutenin-1 (SEQ ID NO: 6897 (Wheat HMW glutenin-1 longer promoter); and SEQ ID NO: 6898 (Wheat HMW glutenin-1 Promoter); Thomas and Flavell, The Plant Cell 2:1171-1180; Furtado et al., 2009 Plant Biotechnology Journal 7:240-253, each of which is fully incorporated herein by reference), wheat alpha, beta and gamma gliadins [e.g., SEQ ID NO: 6899 (wheat alpha gliadin, B genome, promoter); SEQ ID NO: 6900 (wheat gamma gliadin promoter); EMBO 3:1409-15, 1984, which is fully incorporated herein by reference], wheat TdPR60 [SEQ ID NO:6901(wheat TdPR60 longer promoter) or SEQ ID NO:6902 (wheat TdPR60 promoter); Kovalchuk et al., Plant Mol Biol 71:81-98, 2009, which is fully incorporated herein by reference], maize Ub1 Promoter [cultivar Nongda 105 (SEQ ID NO:6903); GenBank: DQ141598.1; Taylor et al., Plant Cell Rep 1993 12: 491-495, which is fully incorporated herein by reference; and cultivar B73 (SEQ ID NO:6904); Christensen, A H, et al. Plant Mol. Biol. 18 (4), 675-689 (1992), which is fully incorporated herein by reference]; rice actin 1 (SEQ ID NO:6905; Mc Elroy et al. 1990, The Plant Cell, Vol. 2, 163-171, which is fully incorporated herein by reference), rice GOS2 [SEQ ID NO: 6906 (rice GOS2 longer promoter) and SEQ ID NO: 6907 (rice GOS2 Promoter); De Pater et al. Plant J. 1992; 2: 837-44, which is fully incorporated herein by reference], arabidopsis Pho1 [SEQ ID NO: 6908 (arabidopsis Pho1 Promoter); Hamburger et al., Plant Cell. 2002; 14: 889-902, which is fully incorporated herein by reference], ExpansinB promoters, e.g., rice ExpB5 [SEQ ID NO:6909 (rice ExpB5 longer promoter) and SEQ ID NO: 6910 (rice ExpB5 promoter)]and Barley ExpB1 [SEQ ID NO: 6911 (barley ExpB1 Promoter), Won et al. Mol Cells. 2010; 30:369-76, which is fully incorporated herein by reference], barley SS2 (sucrose synthase 2) [(SEQ ID NO: 6912), Guerin and Carbonero, Plant Physiology May 1997 vol. 114 no. 1 55-62, which is fully incorporated herein by reference], and rice PG5a [SEQ ID NO:6913, U.S. Pat. No. 7,700,835, Nakase et al., Plant Mol Biol. 32:621-30, 1996, each of which is fully incorporated herein by reference].

Suitable constitutive promoters include, for example, CaMV 35S promoter [SEQ ID NO: 6914 (CaMV 35S (QFNC) Promoter); SEQ ID NO: 6915 (PJJ 35S from Brachypodium); SEQ ID NO: 6916 (CaMV 35S (OLD) Promoter) (Odell et al., Nature 313:810-812, 1985); 35S (pEBbVNi Promoter; SEQ ID NO: 6930)], Arabidopsis At6669 promoter (SEQ ID NO: 6917 (Arabidopsis At6669 (OLD) Promoter); see PCT Publication No. WO04081173A2 or the new At6669 promoter (SEQ ID NO: 6918 (Arabidopsis At6669 (NEW) Promoter)); maize Ub1 Promoter [cultivar Nongda 105 (SEQ ID NO:6903); GenBank: DQ141598.1; Taylor et al., Plant Cell Rep 1993 12: 491-495, which is fully incorporated herein by reference; and cultivar B73 (SEQ ID NO:6904); Christensen, A H, et al. Plant Mol. Biol. 18 (4), 675-689 (1992), which is fully incorporated herein by reference]; rice actin 1 (SEQ ID NO: 6905, McElroy et al., Plant Cell 2:163-171, 1990); pEMU (Last et al., Theor. Appl. Genet. 81:581-588, 1991); CaMV 19S (Nilsson et al., Physiol. Plant 100:456-462, 1997); rice GOS2 [SEQ ID NO: 6906 (rice GOS2 longer Promoter) and SEQ ID NO: 6907 (rice GOS2 Promoter), de Pater et al, Plant J Nov; 2(6):837-44, 1992]; RBCS promoter (SEQ ID NO:6919); Rice cyclophilin (Bucholz et al, Plant Mol Biol. 25(5):837-43, 1994); Maize H3 histone (Lepetit et al, Mol. Gen. Genet. 231: 276-285, 1992); Actin 2 (An et al, Plant J. 10(1); 107-121, 1996) and Synthetic Super MAS (Ni et al., The Plant Journal 7: 661-76, 1995). Other constitutive promoters include those in U.S. Pat. Nos. 5,659,026, 5,608,149; 5.608,144; 5,604,121; 5.569,597: 5.466,785; 5,399,680; 5,268,463; and 5,608,142.

Suitable tissue-specific promoters include, but not limited to, leaf-specific promoters [e.g., AT5G06690 (Thioredoxin) (high expression, SEQ ID NO: 6920), AT5G61520 (AtSTP3) (low expression, SEQ ID NO: 6921) described in Buttner et al 2000 Plant, Cell and Environment 23, 175-184, or the promoters described in Yamamoto et al., Plant J. 12:255-265, 1997; Kwon et al., Plant Physiol. 105:357-67, 1994; Yamamoto et al., Plant Cell Physiol. 35:773-778, 1994; Gotor et al., Plant J. 3:509-18, 1993; Orozco et al., Plant Mol. Biol. 23:1129-1138, 1993; and Matsuoka et al., Proc. Natl. Acad. Sci. USA 90:9586-9590, 1993; as well as Arabidopsis STP3 (AT5G61520) promoter (Buttner et al., Plant, Cell and Environment 23:175-184, 2000)], seed-preferred promoters [e.g., Napin (originated from Brassica napus which is characterized by a seed specific promoter activity; Stuitje A. R. et. al. Plant Biotechnology Journal 1 (4): 301-309; SEQ ID NO: 6922 (Brassica napus NAPIN Promoter) from seed specific genes (Simon, et al., Plant Mol. Biol. 5. 191, 1985; Scofield, et al., J. Biol. Chem. 262: 12202, 1987; Baszczynski, et al., Plant Mol. Biol. 14: 633, 1990), rice PG5a (SEQ ID NO: 6913; U.S. Pat. No. 7,700,835), early seed development Arabidopsis BAN (AT1G61720) (SEQ ID NO: 6923, US 2009/0031450 A1), late seed development Arabidopsis ABI3 (AT3G24650) (SEQ ID NO: 6924 (Arabidopsis ABI3 (AT3G24650) longer Promoter) or 6925 (Arabidopsis ABI3 (AT3G24650) Promoter)) (Ng et al., Plant Molecular Biology 54: 25-38, 2004), Brazil Nut albumin (Pearson’ et al., Plant Mol. Biol. 18: 235-245, 1992), legumin (Ellis, et al. Plant Mol. Biol. 10: 203-214, 1988), Glutelin (rice) (Takaiwa, et al., Mol. Gen. Genet. 208: 15-22, 1986; Takaiwa, et al., FEBS Letts. 221: 43-47, 1987), Zein (Matzke et al Plant Mol Biol, 143). 323-32 1990), napA (Stalberg, et al, Planta 199: 515-519, 1996), Wheat SPA (SEQ ID NO:6894; Albanietal, Plant Cell, 9: 171-184, 1997), sunflower oleosin (Cummins, et al., Plant Mol. Biol. 19: 873-876, 1992)], endosperm specific promoters [e.g., wheat LMW (SEQ ID NO: 6895 (Wheat LMW Longer Promoter), and SEQ ID NO: 6896 (Wheat LMW Promoter) and HMW glutenin-1 [(SEQ ID NO: 6897 (Wheat HMW glutenin-1 longer Promoter)); and SEQ ID NO: 6898 (Wheat HMW glutenin-1 Promoter), Thomas and Flavell, The Plant Cell 2:1171-1180, 1990; Mol Gen Genet 216:81-90, 1989; NAR 17:461-2), wheat alpha, beta and gamma gliadins (SEQ ID NO: 6899 (wheat alpha gliadin (B genome) promoter); SEQ ID NO: 6900 (wheat gamma gliadin promoter); EMBO 3:1409-15, 1984), Barley ltrl promoter, barley BI, C, D hordein (Theor Appl Gen 98:1253-62, 1999; Plant J 4:343-55, 1993; Mol Gen Genet 250:750-60, 1996), Barley D O F (Mena et al, The Plant Journal, 116(1): 53-62, 1998), Biz2 (EP99106056.7), Barley SS2 (SEQ ID NO: 6912 (Barley SS2 Promoter); Guerin and Carbonero Plant Physiology 114: 1 55-62, 1997), wheat Tarp60 (Kovalchuk et al., Plant Mol Biol 71:81-98, 2009), barley D-hordein (D-Hor) and B-hordein (B-Hor) (Agnelo Furtado, Robert J. Henry and Alessandro Pellegrineschi (2009)], Synthetic promoter (Vicente-Carbajosa et al., Plant J. 13: 629-640, 1998), rice prolamin NRP33, rice -globulin Glb-1 (Wu et al, Plant Cell Physiology 39(8) 885-889, 1998), rice alpha-globulin REB/OHP-1 (Nakase et al. Plant Mol. Biol. 33: 513-S22, 1997), rice ADP-glucose PP (Trans Res 6:157-68, 1997), maize ESR gene family (Plant J 12:235-46, 1997), sorgum gamma-kafirin (PMB 32:1029-35, 1996)], embryo specific promoters [e.g., rice OSH1 (Sato et al, Proc. Natl. Acad. Sci. USA, 93: 8117-8122), KNOX (Postma-Haarsma et al, Plant Mol. Biol. 39:257-71, 1999), rice oleosin (Wu et at, J. Biochem., 123:386, 1998)], and flower-specific promoters [e.g., AtPRP4, chalene synthase (chsA) (Van der Meer, et al., Plant Mol. Biol. 15, 95-109, 1990), LAT52 (Twell et al Mol. Gen Genet. 217:240-245; 1989), Arabidopsis apetala—3 (Tilly et al., Development. 125:1647-57, 1998), Arabidopsis APETALA 1 (AT1G69120, AP1) (SEQ ID NO: 6926 (Arabidopsis (AT1G69120) APETALA 1)) (Hempel et al., Development 124:3845-3853, 1997)], and root promoters [e.g., the ROOTP promoter [SEQ ID NO: 6927]; rice ExpB5 (SEQ ID NO: 6910 (rice ExpB5 Promoter); or SEQ ID NO: 6909 (rice ExpB5 longer Promoter)) and barley ExpB1 promoters (SEQ ID NO:6911) (Won et al. Mol. Cells 30: 369-376, 2010); arabidopsis ATTPS-CIN (AT3G25820) promoter (SEQ ID NO: 6928; Chen et al., Plant Phys 135:1956-66, 2004); arabidopsis Pho1 promoter (SEQ ID NO: 6908, Hamburger et al., Plant Cell. 14: 889-902, 2002), which is also slightly induced by stress].

Suitable abiotic stress-inducible promoters include, but not limited to, salt-inducible promoters such as RD29A (Yamaguchi-Shinozalei et al., Mol. Gen. Genet. 236:331-340, 1993); drought-inducible promoters such as maize rab17 gene promoter (Pla et. al., Plant Mol. Biol. 21:259-266, 1993), maize rab28 gene promoter (Busk et. al., Plant J. 11:1285-1295, 1997) and maize Ivr2 gene promoter (Pelleschi et. al., Plant Mol. Biol. 39:373-380, 1999); heat-inducible promoters such as heat tomato hsp80-promoter from tomato (U.S. Pat. No. 5,187,267).

The nucleic acid construct of some embodiments of the invention can further include an appropriate selectable marker and/or an origin of replication. According to some embodiments of the invention, the nucleic acid construct utilized is a shuttle vector, which can propagate both in E. coli (wherein the construct comprises an appropriate selectable marker and origin of replication) and be compatible with propagation in cells. The construct according to the present invention can be, for example, a plasmid, a bacmid, a phagemid, a cosmid, a phage, a virus or an artificial chromosome.

The nucleic acid construct of some embodiments of the invention can be utilized to stably or transiently transform plant cells. In stable transformation, the exogenous polynucleotide is integrated into the plant genome and as such it represents a stable and inherited trait. In transient transformation, the exogenous polynucleotide is expressed by the cell transformed but it is not integrated into the genome and as such it represents a transient trait.

There are various methods of introducing foreign genes into both monocotyledonous and dicotyledonous plants (Potrykus, I., Annu. Rev. Plant. Physiol., Plant. Mol. Biol. (1991) 42:205-225; Shimamoto et al., Nature (1989) 338:274-276).

The principle methods of causing stable integration of exogenous DNA into plant genomic DNA include two main approaches:

(i) Agrobacterium-mediated gene transfer: Klee et al. (1987) Annu. Rev. Plant Physiol. 38:467-486; Klee and Rogers in Cell Culture and Somatic Cell Genetics of Plants, Vol. 6, Molecular Biology of Plant Nuclear Genes, eds. Schell, J., and Vasil, L. K., Academic Publishers, San Diego, Calif. (1989) p. 2-25; Gatenby, in Plant Biotechnology, eds. Kung, S. and Arntzen, C. J., Butterworth Publishers, Boston, Mass. (1989) p. 93-112.

(ii) Direct DNA uptake: Paszkowski et al., in Cell Culture and Somatic Cell Genetics of Plants, Vol. 6, Molecular Biology of Plant Nuclear Genes eds. Schell, J., and Vasil, L. K., Academic Publishers, San Diego, Calif. (1989) p. 52-68; including methods for direct uptake of DNA into protoplasts, Toriyama, K. et al. (1988) Bio/Technology 6:1072-1074. DNA uptake induced by brief electric shock of plant cells: Zhang et al. Plant Cell Rep. (1988) 7:379-384. Fromm et al. Nature (1986) 319:791-793. DNA injection into plant cells or tissues by particle bombardment, Klein et al. Bio/Technology (1988) 6:559-563; McCabe et al. Bio/Technology (1988) 6:923-926; Sanford, Physiol. Plant. (1990) 79:206-209; by the use of micropipette systems: Neuhaus et al., Theor. Appl. Genet. (1987) 75:30-36; Neuhaus and Spangenberg, Physiol. Plant. (1990) 79:213-217; glass fibers or silicon carbide whisker transformation of cell cultures, embryos or callus tissue, U.S. Pat. No. 5,464,765 or by the direct incubation of DNA with germinating pollen, DeWet et al. in Experimental Manipulation of Ovule Tissue, eds. Chapman, G. P. and Mantell, S. H. and Daniels, W. Longman, London, (1985) p. 197-209; and Ohta, Proc. Natl. Acad. Sci. USA (1986) 83:715-719.

The Agrobacterium system includes the use of plasmid vectors that contain defined DNA segments that integrate into the plant genomic DNA. Methods of inoculation of the plant tissue vary depending upon the plant species and the Agrobacterium delivery system. A widely used approach is the leaf disc procedure which can be performed with any tissue explant that provides a good source for initiation of whole plant differentiation. See, e.g., Horsch et al. in Plant Molecular Biology Manual A5, Kluwer Academic Publishers, Dordrecht (1988) p. 1-9. A supplementary approach employs the Agrobacterium delivery system in combination with vacuum infiltration. The Agrobacterium system is especially viable in the creation of transgenic dicotyledonous plants.

There are various methods of direct DNA transfer into plant cells. In electroporation, the protoplasts are briefly exposed to a strong electric field. In microinjection, the DNA is mechanically injected directly into the cells using very small micropipettes. In microparticle bombardment, the DNA is adsorbed on microprojectiles such as magnesium sulfate crystals or tungsten particles, and the microprojectiles are physically accelerated into cells or plant tissues.

Following stable transformation plant propagation is exercised. The most common method of plant propagation is by seed. Regeneration by seed propagation, however, has the deficiency that due to heterozygosity there is a lack of uniformity in the crop, since seeds are produced by plants according to the genetic variances governed by Mendelian rules. Basically, each seed is genetically different and each will grow with its own specific traits. Therefore, it is preferred that the transformed plant be produced such that the regenerated plant has the identical traits and characteristics of the parent transgenic plant. Therefore, it is preferred that the transformed plant be regenerated by micropropagation which provides a rapid, consistent reproduction of the transformed plants.

Micropropagation is a process of growing new generation plants from a single piece of tissue that has been excised from a selected parent plant or cultivar. This process permits the mass reproduction of plants having the preferred tissue expressing the fusion protein. The new generation plants which are produced are genetically identical to, and have all of the characteristics of, the original plant. Micropropagation allows mass production of quality plant material in a short period of time and offers a rapid multiplication of selected cultivars in the preservation of the characteristics of the original transgenic or transformed plant. The advantages of cloning plants are the speed of plant multiplication and the quality and uniformity of plants produced.

Micropropagation is a multi-stage procedure that requires alteration of culture medium or growth conditions between stages. Thus, the micropropagation process involves four basic stages: Stage one, initial tissue culturing; stage two, tissue culture multiplication; stage three, differentiation and plant formation; and stage four, greenhouse culturing and hardening. During stage one, initial tissue culturing, the tissue culture is established and certified contaminant-free. During stage two, the initial tissue culture is multiplied until a sufficient number of tissue samples are produced from the seedlings to meet production goals. During stage three, the tissue samples grown in stage two are divided and grown into individual plantlets. At stage four, the transformed plantlets are transferred to a greenhouse for hardening where the plants' tolerance to light is gradually increased so that it can be grown in the natural environment.

According to some embodiments of the invention, the transgenic plants are generated by transient transformation of leaf cells, meristematic cells or the whole plant.

Transient transformation can be effected by any of the direct DNA transfer methods described above or by viral infection using modified plant viruses.

Viruses that have been shown to be useful for the transformation of plant hosts include CaMV, Tobacco mosaic virus (TMV), brome mosaic virus (BMV) and Bean Common Mosaic Virus (BV or BCMV). Transformation of plants using plant viruses is described in U.S. Pat. No. 4,855,237 (bean golden mosaic virus; BGV), EP-A 67,553 (TMV), Japanese Published Application No. 63-14693 (TMV), EPA 194,809 (BV), EPA 278,667 (BV); and Gluzman, Y. et al., Communications in Molecular Biology: Viral Vectors, Cold Spring Harbor Laboratory, New York, pp. 172-189 (1988). Pseudovirus particles for use in expressing foreign DNA in many hosts, including plants are described in WO 87/06261.

According to some embodiments of the invention, the virus used for transient transformations is avirulent and thus is incapable of causing severe symptoms such as reduced growth rate, mosaic, ring spots, leaf roll, yellowing, streaking, pox formation, tumor formation and pitting. A suitable avirulent virus may be a naturally occurring avirulent virus or an artificially attenuated virus. Virus attenuation may be effected by using methods well known in the art including, but not limited to, sub-lethal heating, chemical treatment or by directed mutagenesis techniques such as described, for example, by Kurihara and Watanabe (Molecular Plant Pathology 4:259-269, 2003), Gal-on et al. (1992), Atreya et al. (1992) and Huet et al. (1994).

Suitable virus strains can be obtained from available sources such as, for example, the American Type culture Collection (ATCC) or by isolation from infected plants. Isolation of viruses from infected plant tissues can be effected by techniques well known in the art such as described, for example by Foster and Taylor, Eds. “Plant Virology Protocols: From Virus Isolation to Transgenic Resistance (Methods in Molecular Biology (Humana Pr), Vol 81)”, Humana Press, 1998. Briefly, tissues of an infected plant believed to contain a high concentration of a suitable virus, preferably young leaves and flower petals, are ground in a buffer solution (e.g., phosphate buffer solution) to produce a virus infected sap which can be used in subsequent inoculations.

Construction of plant RNA viruses for the introduction and expression of non-viral exogenous polynucleotide sequences in plants is demonstrated by the above references as well as by Dawson, W. O. et al., Virology (1989) 172:285-292; Takamatsu et al. EMBO J. (1987) 6:307-311; French et al. Science (1986) 231:1294-1297; Takamatsu et al. FEBS Letters (1990) 269:73-76; and U.S. Pat. No. 5,316,931.

When the virus is a DNA virus, suitable modifications can be made to the virus itself. Alternatively, the virus can first be cloned into a bacterial plasmid for ease of constructing the desired viral vector with the foreign DNA. The virus can then be excised from the plasmid. If the virus is a DNA virus, a bacterial origin of replication can be attached to the viral DNA, which is then replicated by the bacteria. Transcription and translation of this DNA will produce the coat protein which will encapsidate the viral DNA. If the virus is an RNA virus, the virus is generally cloned as a cDNA and inserted into a plasmid. The plasmid is then used to make all of the constructions. The RNA virus is then produced by transcribing the viral sequence of the plasmid and translation of the viral genes to produce the coat protein(s) which encapsidate the viral RNA.

In one embodiment, a plant viral polynucleotide is provided in which the native coat protein coding sequence has been deleted from a viral polynucleotide, a non-native plant viral coat protein coding sequence and a non-native promoter, preferably the subgenomic promoter of the non-native coat protein coding sequence, capable of expression in the plant host, packaging of the recombinant plant viral polynucleotide, and ensuring a systemic infection of the host by the recombinant plant viral polynucleotide, has been inserted. Alternatively, the coat protein gene may be inactivated by insertion of the non-native polynucleotide sequence within it, such that a protein is produced. The recombinant plant viral polynucleotide may contain one or more additional non-native subgenomic promoters. Each non-native subgenomic promoter is capable of transcribing or expressing adjacent genes or polynucleotide sequences in the plant host and incapable of recombination with each other and with native subgenomic promoters. Non-native (foreign) polynucleotide sequences may be inserted adjacent the native plant viral subgenomic promoter or the native and a non-native plant viral subgenomic promoters if more than one polynucleotide sequence is included. The non-native polynucleotide sequences are transcribed or expressed in the host plant under control of the subgenomic promoter to produce the desired products.

In a second embodiment, a recombinant plant viral polynucleotide is provided as in the first embodiment except that the native coat protein coding sequence is placed adjacent one of the non-native coat protein subgenomic promoters instead of a non-native coat protein coding sequence.

In a third embodiment, a recombinant plant viral polynucleotide is provided in which the native coat protein gene is adjacent its subgenomic promoter and one or more non-native subgenomic promoters have been inserted into the viral polynucleotide. The inserted non-native subgenomic promoters are capable of transcribing or expressing adjacent genes in a plant host and are incapable of recombination with each other and with native subgenomic promoters. Non-native polynucleotide sequences may be inserted adjacent the non-native subgenomic plant viral promoters such that the sequences are transcribed or expressed in the host plant under control of the subgenomic promoters to produce the desired product.

In a fourth embodiment, a recombinant plant viral polynucleotide is provided as in the third embodiment except that the native coat protein coding sequence is replaced by a non-native coat protein coding sequence.

The viral vectors are encapsidated by the coat proteins encoded by the recombinant plant viral polynucleotide to produce a recombinant plant virus. The recombinant plant viral polynucleotide or recombinant plant virus is used to infect appropriate host plants. The recombinant plant viral polynucleotide is capable of replication in the host, systemic spread in the host, and transcription or expression of foreign gene(s) (exogenous polynucleotide) in the host to produce the desired protein.

Techniques for inoculation of viruses to plants may be found in Foster and Taylor, eds. “Plant Virology Protocols: From Virus Isolation to Transgenic Resistance (Methods in Molecular Biology (Humana Pr), Vol 81)”, Humana Press, 1998; Maramorosh and Koprowski, eds. “Methods in Virology” 7 vols, Academic Press, New York 1967-1984; Hill, S. A. “Methods in Plant Virology”, Blackwell, Oxford, 1984; Walkey, D. G. A. “Applied Plant Virology”, Wiley, New York, 1985; and Kado and Agrawa, eds. “Principles and Techniques in Plant Virology”, Van Nostrand-Reinhold, New York.

In addition to the above, the polynucleotide of the present invention can also be introduced into a chloroplast genome thereby enabling chloroplast expression.

A technique for introducing exogenous polynucleotide sequences to the genome of the chloroplasts is known. This technique involves the following procedures. First, plant cells are chemically treated so as to reduce the number of chloroplasts per cell to about one. Then, the exogenous polynucleotide is introduced via particle bombardment into the cells with the aim of introducing at least one exogenous polynucleotide molecule into the chloroplasts. The exogenous polynucleotides selected such that it is integratable into the chloroplast's genome via homologous recombination which is readily effected by enzymes inherent to the chloroplast. To this end, the exogenous polynucleotide includes, in addition to a gene of interest, at least one polynucleotide stretch which is derived from the chloroplast's genome. In addition, the exogenous polynucleotide includes a selectable marker, which serves by sequential selection procedures to ascertain that all or substantially all of the copies of the chloroplast genomes following such selection will include the exogenous polynucleotide. Further details relating to this technique are found in U.S. Pat. Nos. 4,945,050; and 5,693,507 which are incorporated herein by reference. A polypeptide can thus be produced by the protein expression system of the chloroplast and become integrated into the chloroplast's inner membrane.

According to some embodiments, there is provided a method of improving nitrogen use efficiency, yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of a grafted plant, the method comprising providing a scion that does not transgenically express a polynucleotide encoding a polypeptide at least 80% homologous to the amino acid sequence selected from the group consisting of SEQ ID NOs: 202-327 and 4064-6893 and a plant rootstock that transgenically expresses a polynucleotide encoding a polypeptide at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% homologous (or identical) to the amino acid sequence selected from the group consisting of SEQ ID NOs: 202-219, 221-292, 295-327, 4064-4175, 4177-4210, 4212-4580, 4582-4603, 4605-4749, 4751-4778, 4780-5223, 5225-5493, 5522-5807, 5812, 5815-5816, 5828-6679, 6689-6690, 6708-6785, 6792-6892 or 6893 (e.g., in a constitutive or an abiotic stress responsive manner), thereby improving the nitrogen use efficiency, yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of the grafted plant.

In some embodiments, the plant scion is non-transgenic.

Several embodiments relate to a grafted plant exhibiting improved nitrogen use efficiency, yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance, comprising a scion that does not transgenically express a polynucleotide encoding a polypeptide at least about 80% homologous (or identical) to the amino acid sequence selected from the group consisting of SEQ ID NOs: 202-327 and 4064-6893 and a plant rootstock that transgenically expresses a polynucleotide encoding a polypeptide at at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% homologous (or identical) to the amino acid sequence selected from the group consisting of SEQ ID NOs: 202-219, 221-292, 295-327, 4064-4175, 4177-4210, 4212-4580, 4582-4603, 4605-4749, 4751-4778, 4780-5223, 5225-5493, 5522-5807, 5812, 5815-5816, 5828-6679, 6689-6690, 6708-6785, and 6792-6893.

In some embodiments, the plant root stock transgenically expresses a polynucleotide encoding a polypeptide at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% homologous (or identical) to the amino acid sequence selected from the group consisting of SEQ ID NOs: 202-219, 221-292, 295-327, 4064-4175, 4177-4210, 4212-4580, 4582-4603, 4605-4749, 4751-4778, 4780-5223, 5225-5493, 5522-5807, 5812, 5815-5816, 5828-6679, 6689-6690, 6708-6785, and 6792-6893 in a stress responsive manner.

According to some embodiments of the invention, the plant root stock transgenically expresses a polynucleotide encoding a polypeptide selected from the group consisting of SEQ ID NOs: 202-327 and 4064-6893.

According to some embodiments of the invention, the plant root stock transgenically expresses a polynucleotide comprising a nucleic acid sequence at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% identical to the polynucleotide selected from the group consisting of SEQ ID NOs: 1-91, 94-201, 328-2317, 2320-2321, 2323, 2326-3835, 3838-3840, 3842-3843, 3848, 3850-3852, 3854, 3856-3953, and 3955-4062.

According to some embodiments of the invention, the plant root stock transgenically expresses a polynucleotide selected from the group consisting of SEQ ID NOs: 1-201 and 328-4062.

Since processes which increase nitrogen use efficiency, fertilizer use efficiency, oil content, yield, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, growth rate, biomass, vigor and/or abiotic stress tolerance of a plant can involve multiple genes acting additively or in synergy (see, for example, in Quesda et al., Plant Physiol. 130:951-063, 2002), the present invention also envisages expressing a plurality of exogenous polynucleotides in a single host plant to thereby achieve superior effect on oil content, yield, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, growth rate, biomass, vigor and/or abiotic stress tolerance.

Expressing a plurality of exogenous polynucleotides in a single host plant can be effected by co-introducing multiple nucleic acid constructs, each including a different exogenous polynucleotide, into a single plant cell. The transformed cell can then be regenerated into a mature plant using the methods described hereinabove.

Alternatively, expressing a plurality of exogenous polynucleotides in a single host plant can be effected by co-introducing into a single plant-cell a single nucleic-acid construct including a plurality of different exogenous polynucleotides. Such a construct can be designed with a single promoter sequence which can transcribe a polycistronic messenger RNA including all the different exogenous polynucleotide sequences. To enable co-translation of the different polypeptides encoded by the polycistronic messenger RNA, the polynucleotide sequences can be inter-linked via an internal ribosome entry site (IRES) sequence which facilitates translation of polynucleotide sequences positioned downstream of the IRES sequence. In this case, a transcribed polycistronic RNA molecule encoding the different polypeptides described above will be translated from both the capped 5′ end and the two internal IRES sequences of the polycistronic RNA molecule to thereby produce in the cell all different polypeptides. Alternatively, the construct can include several promoter sequences each linked to a different exogenous polynucleotide sequence.

The plant cell transformed with the construct including a plurality of different exogenous polynucleotides, can be regenerated into a mature plant, using the methods described hereinabove.

Alternatively, expressing a plurality of exogenous polynucleotides in a single host plant can be effected by introducing different nucleic acid constructs, including different exogenous polynucleotides, into a plurality of plants. The regenerated transformed plants can then be cross-bred and resultant progeny selected for superior abiotic stress tolerance, water use efficiency, fertilizer use efficiency, growth, biomass, yield and/or vigor traits, using conventional plant breeding techniques.

According to some embodiments of the invention, the method further comprising growing the plant expressing the exogenous polynucleotide under the abiotic stress.

Non-limiting examples of abiotic stress conditions include, salinity, osmotic stress, drought, water deprivation, excess of water (e.g., flood, waterlogging), etiolation, low temperature (e.g., cold stress), high temperature, heavy metal toxicity, anaerobiosis, nutrient deficiency (e.g., nitrogen deficiency or nitrogen limitation), nutrient excess, atmospheric pollution and UV irradiation.

According to some embodiments of the invention, the method further comprising growing the plant expressing the exogenous polynucleotide under fertilizer limiting conditions (e.g., nitrogen-limiting conditions). Non-limiting examples include growing the plant on soils with low nitrogen content (40-50% Nitrogen of the content present under normal or optimal conditions), or even under sever nitrogen deficiency (0-10% Nitrogen of the content present under normal or optimal conditions).

Thus, the invention encompasses plants exogenously expressing the polynucleotide(s), the nucleic acid constructs and/or polypeptide(s) of the invention.

Once expressed within the plant cell or the entire plant, the level of the polypeptide encoded by the exogenous polynucleotide can be determined by methods well known in the art such as, activity assays, Western blots using antibodies capable of specifically binding the polypeptide, Enzyme-Linked Immuno Sorbent Assay (ELISA), radio-immuno-assays (RIA), immunohistochemistry, immunocytochemistry, immunofluorescence and the like.

Methods of determining the level in the plant of the RNA transcribed from the exogenous polynucleotide are well known in the art and include, for example, Northern blot analysis, reverse transcription polymerase chain reaction (RT-PCR) analysis (including quantitative, semi-quantitative or real-time RT-PCR) and RNA-in situ hybridization.

The sequence information and annotations uncovered by the present teachings can be harnessed in favor of classical breeding. Thus, sub-sequence data of those polynucleotides described above, can be used as markers for marker assisted selection (MAS), in which a marker is used for indirect selection of a genetic determinant or determinants of a trait of interest (e.g., biomass, growth rate, oil content, yield, abiotic stress tolerance, water use efficiency, nitrogen use efficiency and/or fertilizer use efficiency). Nucleic acid data of the present teachings (DNA or RNA sequence) may contain or be linked to polymorphic sites or genetic markers on the genome such as restriction fragment length polymorphism (RFLP), microsatellites and single nucleotide polymorphism (SNP), DNA fingerprinting (DFP), amplified fragment length polymorphism (AFLP), expression level polymorphism, polymorphism of the encoded polypeptide and any other polymorphism at the DNA or RNA sequence.

Examples of marker assisted selections include, but are not limited to, selection for a morphological trait (e.g., a gene that affects form, coloration, male sterility or resistance such as the presence or absence of awn, leaf sheath coloration, height, grain color, aroma of rice); selection for a biochemical trait (e.g., a gene that encodes a protein that can be extracted and observed; for example, isozymes and storage proteins); selection for a biological trait (e.g., pathogen races or insect biotypes based on host pathogen or host parasite interaction can be used as a marker since the genetic constitution of an organism can affect its susceptibility to pathogens or parasites).

The polynucleotides and polypeptides described hereinabove can be used in a wide range of economical plants, in a safe and cost effective manner.

Plant lines exogenously expressing the polynucleotide or the polypeptide of the invention are screened to identify those that show the greatest increase of the desired plant trait.

Thus, according to an additional embodiment of the present invention, there is provided a method of evaluating a trait of a plant, the method comprising: (a) expressing in a plant or a portion thereof the nucleic acid construct of some embodiments of the invention; and (b) evaluating a trait of a plant as compared to a wild type plant of the same type (e.g., a plant not transformed with the claimed biomolecules); thereby evaluating the trait of the plant.

According to an aspect of some embodiments of the invention there is provided a method of producing a crop comprising growing a crop of a plant expressing an exogenous polynucleotide comprising a nucleic acid sequence encoding a polypeptide at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more say 100% homologous (e.g., identical) to the amino acid sequence selected from the group consisting of SEQ ID NOs: 202-219, 221-292, 295-327, 4064-4175, 4177-4210, 4212-4580, 4582-4603, 4605-4749, 4751-4778, 4780-5223, 5225-5493, 5522-5807, 5812, 5815-5816, 5828-6679, 6689-6690, 6708-6785, and 6792-6893, wherein said plant is derived from a plant selected for increased abiotic stress tolerance, increased water use efficiency, increased growth rate, increased vigor, increased biomass, increased oil content, increased yield, increased seed yield, increased fiber yield, increased fiber quality, increased fiber length, increased photosynthetic capacity, and/or increased fertilizer use efficiency (e.g., increased nitrogen use efficiency) as compared to a control plant, thereby producing the crop.

According to an aspect of some embodiments of the present invention there is provided a method of producing a crop comprising growing a crop plant transformed with an exogenous polynucleotide encoding a polypeptide at least 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more say 100% homologous (e.g., identical) to the amino acid sequence selected from the group consisting of SEQ ID NOs: 202-219, 221-292, 295-327, 4064-4175, 4177-4210, 4212-4580, 4582-4603, 4605-4749, 4751-4778, 4780-5223, 5225-5493, 5522-5807, 5812, 5815-5816, 5828-6679, 6689-6690, 6708-6785, and 6792-6893, wherein the crop plant is derived from plants selected for increased abiotic stress tolerance, increased water use efficiency, increased growth rate, increased vigor, increased biomass, increased oil content, increased yield, increased seed yield, increased fiber yield, increased fiber quality, increased fiber length, increased photosynthetic capacity, and/or increased fertilizer use efficiency (e.g., increased nitrogen use efficiency) as compared to a wild type plant of the same species which is grown under the same growth conditions, and the crop plant having the increased abiotic stress tolerance, increased water use efficiency, increased growth rate, increased vigor, increased biomass, increased oil content, increased yield, increased seed yield, increased fiber yield, increased fiber quality, increased fiber length, increased photosynthetic capacity, and/or increased fertilizer use efficiency (e.g., increased nitrogen use efficiency), thereby producing the crop.

According to some embodiments of the invention the polypeptide is selected from the group consisting of SEQ ID NOs: 202-327 and 4064-6893.

According to an aspect of some embodiments of the invention there is provided a method of producing a crop comprising growing a crop of a plant expressing an exogenous polynucleotide which comprises a nucleic acid sequence which is at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% identical to the nucleic acid sequence selected from the group consisting of SEQ ID NOs: 1-91, 94-201, 328-2317, 2320-2321, 2323, 2326-3835, 3838-3840, 3842-3843, 3848, 3850-3852, 3854, 3856-3953, and 3955-4062, wherein said plant is derived from a plant (parent plant) that has been transformed to express the exogenous polynucleotide and that has been selected for increased abiotic stress tolerance, increased water use efficiency, increased growth rate, increased vigor, increased biomass, increased oil content, increased yield, increased seed yield, increased fiber yield, increased fiber quality, increased fiber length, increased photosynthetic capacity, and/or increased fertilizer use efficiency (e.g., increased nitrogen use efficiency) as compared to a control plant, thereby producing the crop.

According to an aspect of some embodiments of the present invention there is provided a method of producing a crop comprising growing a crop plant transformed with an exogenous polynucleotide at least 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more say 100% identical to the nucleic acid sequence selected from the group consisting of SEQ ID NOs: 1-91, 94-201, 328-2317, 2320-2321, 2323, 2326-3835, 3838-3840, 3842-3843, 3848, 3850-3852, 3854, 3856-3953, and 3955-4062, wherein the crop plant is derived from plants selected for increased abiotic stress tolerance, increased water use efficiency, increased growth rate, increased vigor, increased biomass, increased oil content, increased yield, increased seed yield, increased fiber yield, increased fiber quality, increased fiber length, increased photosynthetic capacity, and/or increased fertilizer use efficiency (e.g., increased nitrogen use efficiency) as compared to a wild type plant of the same species which is grown under the same growth conditions, and the crop plant having the increased abiotic stress tolerance, increased water use efficiency, increased growth rate, increased vigor, increased biomass, increased oil content, increased yield, increased seed yield, increased fiber yield, increased fiber quality, increased fiber length, increased photosynthetic capacity, and/or increased fertilizer use efficiency (e.g., increased nitrogen use efficiency), thereby producing the crop.

According to some embodiments of the invention the exogenous polynucleotide is selected from the group consisting of SEQ ID NOs: 1-201 and 328-4062.

According to an aspect of some embodiments of the invention there is provided a method of growing a crop comprising seeding seeds and/or planting plantlets of a plant transformed with the exogenous polynucleotide of the invention, e.g., the polynucleotide which encodes the polypeptide of some embodiments of the invention, wherein the plant is derived from plants selected for at least one trait selected from the group consisting of increased abiotic stress tolerance, increased water use efficiency, increased growth rate, increased vigor, increased biomass, increased oil content, increased yield, increased seed yield, increased fiber yield, increased fiber quality, increased fiber length, increased photosynthetic capacity, and/or increased fertilizer use efficiency (e.g., increased nitrogen use efficiency) as compared to a non-transformed plant.

According to some embodiments of the invention the method of growing a crop comprising seeding seeds and/or planting plantlets of a plant transformed with an exogenous polynucleotide comprising a nucleic acid sequence encoding a polypeptide at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% identical to SEQ ID NO: 202-219, 221-292, 295-327, 4064-4175, 4177-4210, 4212-4580, 4582-4603, 4605-4749, 4751-4778, 4780-5223, 5225-5493, 5522-5807, 5812, 5815-5816, 5828-6679, 6689-6690, 6708-6785, 6792-6892 or 6893, wherein the plant is derived from plants selected for at least one trait selected from the group consisting of increased abiotic stress tolerance, increased water use efficiency, increased growth rate, increased vigor, increased biomass, increased oil content, increased yield, increased seed yield, increased fiber yield, increased fiber quality, increased fiber length, increased photosynthetic capacity, and/or increased fertilizer use efficiency (e.g., increased nitrogen use efficiency) as compared to a non-transformed plant, thereby growing the crop.

According to some embodiments of the invention the polypeptide is selected from the group consisting of SEQ ID NOs: 202-327 and 4064-6893.

According to some embodiments of the invention the method of growing a crop comprising seeding seeds and/or planting plantlets of a plant transformed with an exogenous polynucleotide comprising the nucleic acid sequence at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% identical to SEQ ID NO: 1-91, 94-201, 328-2317, 2320-2321, 2323, 2326-3835, 3838-3840, 3842-3843, 3848, 3850-3852, 3854, 3856-3953, 3955-4061 or 4062, wherein the plant is derived from plants selected for at least one trait selected from the group consisting of increased abiotic stress tolerance, increased water use efficiency, increased growth rate, increased vigor, increased biomass, increased oil content, increased yield, increased seed yield, increased fiber yield, increased fiber quality, increased fiber length, increased photosynthetic capacity, and/or increased fertilizer use efficiency (e.g., increased nitrogen use efficiency) as compared to a non-transformed plant, thereby growing the crop.

According to some embodiments of the invention the exogenous polynucleotide is selected from the group consisting of SEQ ID NOs: 1-201 and 328-4062.

The effect of the transgene (the exogenous polynucleotide encoding the polypeptide) on abiotic stress tolerance can be determined using known methods such as detailed below and in the Examples section which follows.

Abiotic stress tolerance—Transformed (i.e., expressing the transgene) and non-transformed (wild type) plants are exposed to an abiotic stress condition, such as water deprivation, suboptimal temperature (low temperature, high temperature), nutrient deficiency, nutrient excess, a salt stress condition, osmotic stress, heavy metal toxicity, anaerobiosis, atmospheric pollution and UV irradiation.

Salinity tolerance assay—Transgenic plants with tolerance to high salt concentrations are expected to exhibit better germination, seedling vigor or growth in high salt. Salt stress can be effected in many ways such as, for example, by irrigating the plants with a hyperosmotic solution, by cultivating the plants hydroponically in a hyperosmotic growth solution (e.g., Hoagland solution), or by culturing the plants in a hyperosmotic growth medium [e.g., 50% Murashige-Skoog medium (MS medium)]. Since different plants vary considerably in their tolerance to salinity, the salt concentration in the irrigation water, growth solution, or growth medium can be adjusted according to the specific characteristics of the specific plant cultivar or variety, so as to inflict a mild or moderate effect on the physiology and/or morphology of the plants (for guidelines as to appropriate concentration see, Bernstein and Kafkafi, Root Growth Under Salinity Stress In: Plant Roots, The Hidden Half 3rd ed. Waisel Y, Eshel A and Kafkafi U. (editors) Marcel Dekker Inc., New York, 2002, and reference therein).

For example, a salinity tolerance test can be performed by irrigating plants at different developmental stages with increasing concentrations of sodium chloride (for example 50 mM, 100 mM, 200 mM, 400 mM NaCl) applied from the bottom and from above to ensure even dispersal of salt. Following exposure to the stress condition the plants are frequently monitored until substantial physiological and/or morphological effects appear in wild type plants. Thus, the external phenotypic appearance, degree of wilting and overall success to reach maturity and yield progeny are compared between control and transgenic plants.

Quantitative parameters of tolerance measured include, but are not limited to, the average wet and dry weight, growth rate, leaf size, leaf coverage (overall leaf area), the weight of the seeds yielded, the average seed size and the number of seeds produced per plant. Transformed plants not exhibiting substantial physiological and/or morphological effects, or exhibiting higher biomass than wild-type plants, are identified as abiotic stress tolerant plants.

Osmotic tolerance test—Osmotic stress assays (including sodium chloride and mannitol assays) are conducted to determine if an osmotic stress phenotype was sodium chloride-specific or if it was a general osmotic stress related phenotype. Plants which are tolerant to osmotic stress may have more tolerance to drought and/or freezing. For salt and osmotic stress germination experiments, the medium is supplemented for example with 50 mM, 100 mM, 200 mM NaCl or 100 mM, 200 mM NaCl, 400 mM mannitol.

Drought tolerance assay/Osmoticum assay—Tolerance to drought is performed to identify the genes conferring better plant survival after acute water deprivation. To analyze whether the transgenic plants are more tolerant to drought, an osmotic stress produced by the non-ionic osmolyte sorbitol in the medium can be performed. Control and transgenic plants are germinated and grown in plant-agar plates for 4 days, after which they are transferred to plates containing 500 mM sorbitol. The treatment causes growth retardation, then both control and transgenic plants are compared, by measuring plant weight (wet and dry), yield, and by growth rates measured as time to flowering.

Conversely, soil-based drought screens are performed with plants overexpressing the polynucleotides detailed above. Seeds from control Arabidopsis plants, or other transgenic plants overexpressing the polypeptide of the invention are germinated and transferred to pots. Drought stress is obtained after irrigation is ceased accompanied by placing the pots on absorbent paper to enhance the soil-drying rate. Transgenic and control plants are compared to each other when the majority of the control plants develop severe wilting. Plants are re-watered after obtaining a significant fraction of the control plants displaying a severe wilting. Plants are ranked comparing to controls for each of two criteria: tolerance to the drought conditions and recovery (survival) following re-watering.

Cold stress tolerance—To analyze cold stress, mature (25 day old) plants are transferred to 4° C. chambers for 1 or 2 weeks, with constitutive light. Later on plants are moved back to greenhouse. Two weeks later damages from chilling period, resulting in growth retardation and other phenotypes, are compared between both control and transgenic plants, by measuring plant weight (wet and dry), and by comparing growth rates measured as time to flowering, plant size, yield, and the like.

Heat stress tolerance—Heat stress tolerance is achieved by exposing the plants to temperatures above 34° C. for a certain period. Plant tolerance is examined after transferring the plants back to 22° C. for recovery and evaluation after 5 days relative to internal controls (non-transgenic plants) or plants not exposed to neither cold or heat stress.

Water use efficiency—can be determined as the biomass produced per unit transpiration. To analyze WUE, leaf relative water content can be measured in control and transgenic plants. Fresh weight (FW) is immediately recorded; then leaves are soaked for 8 hours in distilled water at room temperature in the dark, and the turgid weight (TW) is recorded. Total dry weight (DW) is recorded after drying the leaves at 60° C. to a constant weight. Relative water content (RWC) is calculated according to the following Formula I:

RWC=[(FW−DW)/(TW−DW)]×100  Formula I

Fertilizer use efficiency—To analyze whether the transgenic plants are more responsive to fertilizers, plants are grown in agar plates or pots with a limited amount of fertilizer, as described, for example, in Examples 17-19 hereinbelow and in Yanagisawa et al (Proc Natl Acad Sci USA. 2004; 101:7833-8). The plants are analyzed for their overall size, time to flowering, yield, protein content of shoot and/or grain. The parameters checked are the overall size of the mature plant, its wet and dry weight, the weight of the seeds yielded, the average seed size and the number of seeds produced per plant. Other parameters that may be tested are: the chlorophyll content of leaves (as nitrogen plant status and the degree of leaf verdure is highly correlated), amino acid and the total protein content of the seeds or other plant parts such as leaves or shoots, oil content, etc. Similarly, instead of providing nitrogen at limiting amounts, phosphate or potassium can be added at increasing concentrations. Again, the same parameters measured are the same as listed above. In this way, nitrogen use efficiency (NUE), phosphate use efficiency (PUE) and potassium use efficiency (KUE) are assessed, checking the ability of the transgenic plants to thrive under nutrient restraining conditions.

Nitrogen use efficiency—To analyze whether the transgenic plants (e.g., Arabidopsis plants) are more responsive to nitrogen, plant are grown in 0.75-3 mM (nitrogen deficient conditions) or 6-10 mM (optimal nitrogen concentration). Plants are allowed to grow for additional 25 days or until seed production. The plants are then analyzed for their overall size, time to flowering, yield, protein content of shoot and/or grain/seed production. The parameters checked can be the overall size of the plant, wet and dry weight, the weight of the seeds yielded, the average seed size and the number of seeds produced per plant. Other parameters that may be tested are: the chlorophyll content of leaves (as nitrogen plant status and the degree of leaf greenness is highly correlated), amino acid and the total protein content of the seeds or other plant parts such as leaves or shoots and oil content. Transformed plants not exhibiting substantial physiological and/or morphological effects, or exhibiting higher measured parameters levels than wild-type plants, are identified as nitrogen use efficient plants.

Nitrogen Use efficiency assay using plantlets—The assay is done according to Yanagisawa-S. et al. with minor modifications (“Metabolic engineering with Dof1 transcription factor in plants: Improved nitrogen assimilation and growth under low-nitrogen conditions” Proc. Natl. Acad. Sci. USA 101, 7833-7838). Briefly, transgenic plants which are grown for 7-10 days in 0.5×MS [Murashige-Skoog] supplemented with a selection agent are transferred to two nitrogen-limiting conditions: MS media in which the combined nitrogen concentration (NH₄NO₃ and KNO₃) was 0.75 mM (nitrogen deficient conditions) or 6-15 mM (optimal nitrogen concentration). Plants are allowed to grow for additional 30-40 days and then photographed, individually removed from the Agar (the shoot without the roots) and immediately weighed (fresh weight) for later statistical analysis. Constructs for which only T1 seeds are available are sown on selective media and at least 20 seedlings (each one representing an independent transformation event) are carefully transferred to the nitrogen-limiting media. For constructs for which T2 seeds are available, different transformation events are analyzed. Usually, 20 randomly selected plants from each event are transferred to the nitrogen-limiting media allowed to grow for 3-4 additional weeks and individually weighed at the end of that period. Transgenic plants are compared to control plants grown in parallel under the same conditions. Mock-transgenic plants expressing the uidA reporter gene (GUS) under the same promoter or transgenic plants carrying the same promoter but lacking a reporter gene are used as control.

Nitrogen determination—The procedure for N (nitrogen) concentration determination in the structural parts of the plants involves the potassium persulfate digestion method to convert organic N to NO₃ ⁻ (Purcell and King 1996 Argon. J. 88:111-113, the modified Cd-mediated reduction of NO₃ ⁻ to NO₂ ⁻ (Vodovotz 1996 Biotechniques 20:390-394) and the measurement of nitrite by the Griess assay (Vodovotz 1996, supra). The absorbance values are measured at 550 nm against a standard curve of NaNO₂. The procedure is described in details in Samonte et al. 2006 Agron. J. 98:168-176.

Germination tests—Germination tests compare the percentage of seeds from transgenic plants that could complete the germination process to the percentage of seeds from control plants that are treated in the same manner. Normal conditions are considered for example, incubations at 22° C. under 22-hour light 2-hour dark daily cycles. Evaluation of germination and seedling vigor is conducted between 4 and 14 days after planting. The basal media is 50% MS medium (Murashige and Skoog, 1962 Plant Physiology 15, 473-497).

Germination is checked also at unfavorable conditions such as cold (incubating at temperatures lower than 10° C. instead of 22° C.) or using seed inhibition solutions that contain high concentrations of an osmolyte such as sorbitol (at concentrations of 50 mM, 100 mM, 200 mM, 300 mM, 500 mM, and up to 1000 mM) or applying increasing concentrations of salt (of 50 mM, 100 mM, 200 mM, 300 mM, 500 mM NaCl).

The effect of the transgene on plant's vigor, growth rate, biomass, yield and/or oil content can be determined using known methods.

Plant vigor—The plant vigor can be calculated by the increase in growth parameters such as leaf area, fiber length, rosette diameter, plant fresh weight and the like per time.

Growth rate—The growth rate can be measured using digital analysis of growing plants. For example, images of plants growing in greenhouse on plot basis can be captured every 3 days and the rosette area can be calculated by digital analysis. Rosette area growth is calculated using the difference of rosette area between days of sampling divided by the difference in days between samples. Evaluation of growth rate can be done by measuring plant biomass produced, rosette area, leaf size or root length per time (can be measured in cm² per day of leaf area).

Relative growth area can be calculated using Formula II.

Relative growth rate area=Regression coefficient of area along time course  Formula II:

Thus, the relative growth area rate is in units of area units (e.g., mm²/day or cm²/day) and the relative length growth rate is in units of length units (e.g., cm/day or mm/day).

For example, RGR can be determined for plant height (Formula III), SPAD (Formula IV), Number of tillers (Formula V), root length (Formula VI), vegetative growth (Formula VII), leaf number (Formula VIII), rosette area (Formula IX), rosette diameter (Formula X), plot coverage (Formula XI), leaf blade area (Formula XII), and leaf area (Formula XIII).

Relative growth rate of Plant height=Regression coefficient of Plant height along time course (measured in cm/day).  Formula III:

Relative growth rate of SPAD=Regression coefficient of SPAD measurements along time course.  Formula IV:

Relative growth rate of Number of tillers=Regression coefficient of Number of tillers along time course (measured in units of “number of tillers/day”).  Formula V:

Relative growth rate of root length=Regression coefficient of root length along time course (measured in cm per day).  Formula VI:

Vegetative growth rate analysis—was calculated according to Formula VII below.

Relative growth rate of vegetative growth=Regression coefficient of vegetative weight along time course (measured in grams per day).  Formula VII:

Relative growth rate of leaf number=Regression coefficient of leaf number along time course (measured in number per day).  Formula VIII:

Relative growth rate of rosette area=Regression coefficient of rosette area along time course (measured in cm² per day).  Formula IX:

Relative growth rate of rosette diameter=Regression coefficient of rosette diameter along time course (measured in cm per day).  Formula X:

Relative growth rate of plot coverage=Regression coefficient of plot (measured in cm² per day).  Formula XI:

Relative growth rate of leaf blade area=Regression coefficient of leaf area along time course (measured in cm² per day).  Formula XII:

Relative growth rate of leaf area=Regression coefficient of leaf area along time course (measured in cm² per day).  Formula XIII:

1000 Seed Weight=number of seed in sample/sample weight×1000  Formula XIV:

The Harvest Index can be calculated using Formulas XV, XVI, XVII, XVIII and XXXVII below.

Harvest Index (seed)=Average seed yield per plant/Average dry weight.  Formula XV:

Harvest Index (Sorghum)=Average grain dry weight per Head/(Average vegetative dry weight per Head+Average Head dry weight)  Formula XVI:

Harvest Index (Maize)=Average grain weight per plant/(Average vegetative dry weight per plant plus Average grain weight per plant)  Formula XVII:

Harvest Index (for barley)—The harvest index is calculated using Formula XVIII.

Harvest Index (for barley and wheat)=Average spike dry weight per plant/(Average vegetative dry weight per plant+Average spike dry weight per plant)  Formula XVIII:

Following is a non-limited list of additional parameters which can be detected in order to show the effect of the transgene on the desired plant's traits:

Grain circularity=4×3.14 (grain area/perimeter²)  Formula XIX:

internode volume=3.14×(d/2)²×1  Formula XX:

Normalized ear weight per plant+vegetative dry weight.  Formula XXI:

Root/Shoot Ratio=total weight of the root at harvest/total weight of the vegetative portion above ground at harvest. (=RBiH/BiH)  Formula XXII:

Ratio of the number of pods per node on main stem at pod set=Total number of pods on main stem/Total number of nodes on main stem.  Formula XXIII:

Ratio of total number of seeds in main stem to number of seeds on lateral branches=Total number of seeds on main stem at pod set/Total number of seeds on lateral branches at pod set.  Formula XXIV:

Petiole Relative Area=(Petiole area)/Rosette area (measured in %).  Formula XXV:

% reproductive tiller percentage=Number of Reproductive tillers/number of tillers)×100.  Formula XXVI:

Spikes Index=Average Spikes weight per plant/(Average vegetative dry weight per plant plus Average Spikes weight per plant).  Formula XXVII:

Relative growth rate of root coverage=Regression coefficient of root coverage along time course.  Formula XXVIII:

Seed Oil yield=Seed yield per plant (gr.)*Oil % in seed.  Formula XXIX:

shoot/root Ratio=total weight of the vegetative portion above ground at harvest/total weight of the root at harvest.  Formula XXX:

Spikelets Index=Average Spikelets weight per plant/(Average vegetative dry weight per plant plus Average Spikelets weight per plant).  Formula XXXI:

% Canopy coverage=(1−(PAR_DOWN/PAR_UP))×100.  Formula XXXII:

leaf mass fraction=Leaf area/shoot FW.  Formula XXXIII:

Relative growth rate based on dry weight=Regression coefficient of dry weight along time course.  Formula XXXIV:

Total dry matter (for Maize)=Normalized ear weight per plant+vegetative dry weight.  Formula XXXV:

Formula XXXVI:

${{Agronomical}\mspace{14mu} {NUE}} = \frac{\frac{{{Yield}\mspace{14mu} {per}\mspace{14mu} {plant}\mspace{11mu} \left( {{Kg}.} \right)^{X\; {Nitrogen}\mspace{14mu} {Fertilization}}} -}{{{Yield}\mspace{14mu} {per}\mspace{14mu} {plant}\mspace{11mu} \left( {{Kg}.} \right)^{0\% \mspace{14mu} {Nitrogen}\mspace{14mu} {Fertilization}}} -}}{{Fertilizer}^{X}}$ Harvest Index (brachypodium)=Average grain weight/average dry (vegetative+spikelet) weight per plant.  Formula XXXVII:

Harvest Index for Sorghum* (* when the plants were not dried)=FW (fresh weight) Heads/(FW Heads+FW Plants)  Formula XXXVIII:

Grain fill rate [mg/day]—Rate of dry matter accumulation in grain. The grain fill rate is calculated using Formula XXXIX

Grain fill rate [mg/day]=[Grain weight*ear−1×1000]/[Grain number*ear−1]×Grain filling duration].  Formula XXXIX:

Grain protein concentration—Grain protein content (g grain protein m⁻²) is estimated as the product of the mass of grain N (g grain N m⁻²) multiplied by the N/protein conversion ratio of k-5.13 (Mosse 1990, supra). The grain protein concentration is estimated as the ratio of grain protein content per unit mass of the grain (g grain protein kg⁻¹ grain).

Fiber length—Fiber length can be measured using fibrograph. The fibrograph system was used to compute length in terms of “Upper Half Mean” length. The upper half mean (UHM) is the average length of longer half of the fiber distribution. The fibrograph measures length in span lengths at a given percentage point (cottoninc (dot) com/ClassificationofCotton/?Pg=4#Length).

According to some embodiments of the invention, increased yield of corn may be manifested as one or more of the following: increase in the number of plants per growing area, increase in the number of ears per plant, increase in the number of rows per ear, number of kernels per ear row, kernel weight, thousand kernel weight (1000-weight), ear length/diameter, increase oil content per kernel and increase starch content per kernel.

As mentioned, the increase of plant yield can be determined by various parameters. For example, increased yield of rice may be manifested by an increase in one or more of the following: number of plants per growing area, number of panicles per plant, number of spikelets per panicle, number of flowers per panicle, increase in the seed filling rate, increase in thousand kernel weight (1000−weight), increase oil content per seed, increase starch content per seed, among others. An increase in yield may also result in modified architecture, or may occur because of modified architecture.

Similarly, increased yield of soybean may be manifested by an increase in one or more of the following: number of plants per growing area, number of pods per plant, number of seeds per pod, increase in the seed filling rate, increase in thousand seed weight (1000−weight), reduce pod shattering, increase oil content per seed, increase protein content per seed, among others. An increase in yield may also result in modified architecture, or may occur because of modified architecture.

Increased yield of canola may be manifested by an increase in one or more of the following: number of plants per growing area, number of pods per plant, number of seeds per pod, increase in the seed filling rate, increase in thousand seed weight (1000−weight), reduce pod shattering, increase oil content per seed, among others. An increase in yield may also result in modified architecture, or may occur because of modified architecture.

Increased yield of cotton may be manifested by an increase in one or more of the following: number of plants per growing area, number of bolls per plant, number of seeds per boll, increase in the seed filling rate, increase in thousand seed weight (1000-weight), increase oil content per seed, improve fiber length, fiber strength, among others. An increase in yield may also result in modified architecture, or may occur because of modified architecture.

Oil content—The oil content of a plant can be determined by extraction of the oil from the seed or the vegetative portion of the plant. Briefly, lipids (oil) can be removed from the plant (e.g., seed) by grinding the plant tissue in the presence of specific solvents (e.g., hexane or petroleum ether) and extracting the oil in a continuous extractor. Indirect oil content analysis can be carried out using various known methods such as Nuclear Magnetic Resonance (NMR) Spectroscopy, which measures the resonance energy absorbed by hydrogen atoms in the liquid state of the sample [See for example, Conway T F. and Earle F R., 1963, Journal of the American Oil Chemists' Society; Springer Berlin/Heidelberg, ISSN: 0003-021X (Print) 1558-9331 (Online)]; the Near Infrared (NI) Spectroscopy, which utilizes the absorption of near infrared energy (1100-2500 nm) by the sample; and a method described in WO/2001/023884, which is based on extracting oil a solvent, evaporating the solvent in a gas stream which forms oil particles, and directing a light into the gas stream and oil particles which forms a detectable reflected light.

Thus, the present invention is of high agricultural value for promoting the yield of commercially desired crops (e.g., biomass of vegetative organ such as poplar wood, or reproductive organ such as number of seeds or seed biomass).

Any of the transgenic plants described hereinabove or parts thereof may be processed to produce a feed, meal, protein or oil preparation, such as for ruminant animals.

The transgenic plants described hereinabove, which exhibit an increased oil content can be used to produce plant oil (by extracting the oil from the plant).

The plant oil (including the seed oil and/or the vegetative portion oil) produced according to the method of the invention may be combined with a variety of other ingredients. The specific ingredients included in a product are determined according to the intended use. Exemplary products include animal feed, raw material for chemical modification, biodegradable plastic, blended food product, edible oil, biofuel, cooking oil, lubricant, biodiesel, snack food, cosmetics, and fermentation process raw material. Exemplary products to be incorporated to the plant oil include animal feeds, human food products such as extruded snack foods, breads, as a food binding agent, aquaculture feeds, fermentable mixtures, food supplements, sport drinks, nutritional food bars, multi-vitamin supplements, diet drinks, and cereal foods. According to some embodiments of the invention, the oil comprises a seed oil.

According to some embodiments of the invention, the oil comprises a vegetative portion oil (oil of the vegetative portion of the plant).

According to some embodiments of the invention, the plant cell forms a part of a plant.

According to another embodiment of the present invention, there is provided a food or feed comprising the plants or a portion thereof of the present invention.

As used herein the term “about” refers to ±10%.

The terms “comprises”, “comprising”, “includes”, “including”, “having” and their conjugates mean “including but not limited to”.

The term “consisting of” means “including and limited to”.

The term “consisting essentially of” means that the composition, method or structure may include additional ingredients, steps and/or parts, but only if the additional ingredients, steps and/or parts do not materially alter the basic and novel characteristics of the claimed composition, method or structure.

As used herein, the singular form “a”, “an” and “the” include plural references unless the context clearly dictates otherwise. For example, the term “a compound” or “at least one compound” may include a plurality of compounds, including mixtures thereof.

Throughout this application, various embodiments of this invention may be presented in a range format. It should be understood that the description in range format is merely for convenience and brevity and should not be construed as an inflexible limitation on the scope of the invention. Accordingly, the description of a range should be considered to have specifically disclosed all the possible subranges as well as individual numerical values within that range. For example, description of a range such as from 1 to 6 should be considered to have specifically disclosed subranges such as from 1 to 3, from 1 to 4, from 1 to 5, from 2 to 4, from 2 to 6, from 3 to 6 etc., as well as individual numbers within that range, for example, 1, 2, 3, 4, 5, and 6. This applies regardless of the breadth of the range.

Whenever a numerical range is indicated herein, it is meant to include any cited numeral (fractional or integral) within the indicated range. The phrases “ranging/ranges between” a first indicate number and a second indicate number and “ranging/ranges from” a first indicate number “to” a second indicate number are used herein interchangeably and are meant to include the first and second indicated numbers and all the fractional and integral numerals therebetween.

As used herein the term “method” refers to manners, means, techniques and procedures for accomplishing a given task including, but not limited to, those manners, means, techniques and procedures either known to, or readily developed from known manners, means, techniques and procedures by practitioners of the chemical, pharmacological, biological, biochemical and medical arts.

When reference is made to particular sequence listings, such reference is to be understood to also encompass sequences that substantially correspond to its complementary sequence as including minor sequence variations, resulting from, e.g., sequencing errors, cloning errors, or other alterations resulting in base substitution, base deletion or base addition, provided that the frequency of such variations is less than 1 in 50 nucleotides, alternatively, less than 1 in 100 nucleotides, alternatively, less than 1 in 200 nucleotides, alternatively, less than 1 in 500 nucleotides, alternatively, less than 1 in 1000 nucleotides, alternatively, less than 1 in 5,000 nucleotides, alternatively, less than 1 in 10,000 nucleotides.

It is appreciated that certain features of the invention, which are, for clarity, described in the context of separate embodiments, may also be provided in combination in a single embodiment. Conversely, various features of the invention, which are, for brevity, described in the context of a single embodiment, may also be provided separately or in any suitable subcombination or as suitable in any other described embodiment of the invention. Certain features described in the context of various embodiments are not to be considered essential features of those embodiments, unless the embodiment is inoperative without those elements.

Various embodiments and aspects of the present invention as delineated hereinabove and as claimed in the claims section below find experimental support in the following examples.

EXAMPLES

Reference is now made to the following examples, which together with the above descriptions illustrate some embodiments of the invention in a non limiting fashion.

Generally, the nomenclature used herein and the laboratory procedures utilized in the present invention include molecular, biochemical, microbiological and recombinant DNA techniques. Such techniques are thoroughly explained in the literature. See, for example, “Molecular Cloning: A laboratory Manual” Sambrook et al., (1989); “Current Protocols in Molecular Biology” Volumes I-III Ausubel, R. M., ed. (1994); Ausubel et al., “Current Protocols in Molecular Biology”, John Wiley and Sons, Baltimore, Md. (1989); Perbal, “A Practical Guide to Molecular Cloning”, John Wiley & Sons, New York (1988); Watson et al., “Recombinant DNA”, Scientific American Books, New York; Birren et al. (eds) “Genome Analysis: A Laboratory Manual Series”, Vols. 1-4, Cold Spring Harbor Laboratory Press, New York (1998); methodologies as set forth in U.S. Pat. Nos. 4,666,828; 4,683,202; 4,801,531; 5,192,659 and 5,272,057; “Cell Biology: A Laboratory Handbook”, Volumes I-III Cellis, J. E., ed. (1994); “Current Protocols in Immunology” Volumes I-III Coligan J. E., ed. (1994); Stites et al. (eds), “Basic and Clinical Immunology” (8th Edition), Appleton & Lange, Norwalk, Conn. (1994); Mishell and Shiigi (eds), “Selected Methods in Cellular Immunology”, W. H. Freeman and Co., New York (1980); available immunoassays are extensively described in the patent and scientific literature, see, for example, U.S. Pat. Nos. 3,791,932; 3,839,153; 3,850,752; 3,850,578; 3,853,987; 3,867,517; 3,879,262; 3,901,654; 3,935,074; 3,984,533; 3,996,345; 4,034,074; 4,098,876; 4,879,219; 5,011,771 and 5,281,521; “Oligonucleotide Synthesis” Gait, M. J., ed. (1984); “Nucleic Acid Hybridization” Hames, B. D., and Higgins S. J., eds. (1985); “Transcription and Translation” Hames, B. D., and Higgins S. J., Eds. (1984); “Animal Cell Culture” Freshney, R. I., ed. (1986); “Immobilized Cells and Enzymes” IRL Press, (1986); “A Practical Guide to Molecular Cloning” Perbal, B., (1984) and “Methods in Enzymology” Vol. 1-317, Academic Press; “PCR Protocols: A Guide To Methods And Applications”, Academic Press, San Diego, Calif. (1990); Marshak et al., “Strategies for Protein Purification and Characterization—A Laboratory Course Manual” CSHL Press (1996); all of which are incorporated by reference as if fully set forth herein. Other general references are provided throughout this document. The procedures therein are believed to be well known in the art and are provided for the convenience of the reader. All the information contained therein is incorporated herein by reference.

General Experimental and Bioinformatics Methods

RNA extraction—Tissues growing at various growth conditions (as described below) were sampled and RNA was extracted using TRIzol Reagent from Invitrogen [invitrogen (dot) corn/content (dot)cfm?pageid=469]. Approximately 30-50 mg of tissue was taken from samples. The weighed tissues were ground using pestle and mortar in liquid nitrogen and resuspended in 500 μl of TRIzol Reagent. To the homogenized lysate, 100 μl of chloroform was added followed by precipitation using isopropanol and two washes with 75% ethanol. The RNA was eluted in 30 μl of RNase-free water. RNA samples were cleaned up using Qiagen's RNeasy minikit clean-up protocol as per the manufacturer's protocol (QIAGEN Inc, CA USA). For convenience, each micro-array expression information tissue type has received an expression Set ID.

Correlation analysis—was performed for selected genes according to some embodiments of the invention, in which the characterized parameters (measured parameters according to the correlation IDs) were used as “x axis” for correlation with the tissue transcriptome which was used as the “Y axis”. For each gene and measured parameter a correlation coefficient “R” was calculated (using Pearson correlation) along with a p-value for the significance of the correlation. When the correlation coefficient (R) between the levels of a gene's expression in a certain tissue and a phenotypic performance across ecotypes/variety/hybrid is high in absolute value (between 0.5-1), there is an association between the gene (specifically the expression level of this gene) the phenotypic characteristic (e.g., improved nitrogen use efficiency, abiotic stress tolerance, yield, growth rate and the like).

Example 1 Identifying Genes which Increase Nitrogen Use Efficiency (NUE), Fertilizer Use Efficiency (FUE), Yield, Growth Rate, Vigor, Biomass, Oil Content, Abiotic Stress Tolerance (ABST) and/or Water Use Efficiency (WUE) in Plants

The present inventors have identified polynucleotides which upregulation of expression thereof in plants increases nitrogen use efficiency (NUE), fertilizer use efficiency (FUE), yield (e.g., seed yield, oil yield, grain quantity and/or quality), growth rate, vigor, biomass, oil content, fiber yield, fiber quality, fiber length, abiotic stress tolerance (ABST) and/or water use efficiency (WUE) of a plant.

All nucleotide sequence datasets used here were originated from publicly available databases or from performing sequencing using the Solexa technology (e.g. Barley and Sorghum). Sequence data from 100 different plant species was introduced into a single, comprehensive database. Other information on gene expression, protein annotation, enzymes and pathways were also incorporated. Major databases used include:

Genomes

-   -   Arabidopsis genome [TAIR genome version 6 (arabidopsis (dot)         org/)]     -   Rice genome [IRGSP build 4.0 (rgp (dot) dna (dot) affrc (dot) go         (dot) jp/IRGSP/)].     -   Poplar [Populus trichocarpa release 1.1 from JGI (assembly         release v1.0) (genome (dot) jgi-psf (dot) org/)]     -   Brachypodium [JGI 4x assembly, brachpodium (dot) org)]     -   Soybean [DOE-JGI SCP, versions Glyma0 or Glyma1 (phytozome (dot)         net/)]     -   Grape [French-Italian Public Consortium for Grapevine Genome         Characterization grapevine genome (genoscope (dot) cns (dot)         fr/)]     -   Castobean [TIGR/J Craig Venter Institute 4× assembly [(msc (dot)         jcvi (dot) org/r_communis]     -   Sorghum [DOE-JGI SCP, version Sbi1 [phytozome (dot) net/)].     -   Maize [maizesequence (dot) org/]     -   Cucumber [cucumber (dot) genomics (dot) org (dot)         cn/page/cucumber/index (dot) jsp]     -   Tomato [solgenomics (dot) net/tomato/]     -   Cassava [phytozome (dot) net/cassava (dot) php]     -   Expressed EST and mRNA sequences were extracted from the         following databases:     -   GenBank (ncbi (dot) nlm (dot) nih (dot) gov/Genbank/).     -   RefSeq (ncbi (dot) nlm (dot) nih (dot) gov/RefSeq/).     -   TAIR (arabidopsis (dot) org/).     -   Protein and pathway databases     -   Uniprot [uniprot (dot) org/].     -   AraCyc [arabidopsis (dot) org/biocyc/index (dot) jsp].     -   ENZYME [expasy (dot) org/enzyme/].     -   Microarray datasets were downloaded from:     -   GEO (ncbi (dot) nlm(dot) nih (dot) gov/geo/)     -   TAIR (arabidopsis(dot) org/).     -   Proprietary micro-array data (See WO2008/122980 and Examples         3-13 below).     -   QTL and SNPs information     -   Gramene [gramene (dot) org/qtl/].     -   Panzea [panzea (dot) org/index (dot) html].     -   Soybean QTL: [soybeanbreederstoolbox(dot) com/].

Database Assembly—was performed to build a wide, rich, reliable annotated and easy to analyze database comprised of publicly available genomic mRNA, ESTs DNA sequences, data from various crops as well as gene expression, protein annotation and pathway, QTLs data, and other relevant information.

Database assembly is comprised of a toolbox of gene refining, structuring, annotation and analysis tools enabling to construct a tailored database for each gene discovery project. Gene refining and structuring tools enable to reliably detect splice variants and antisense transcripts, generating understanding of various potential phenotypic outcomes of a single gene. The capabilities of the “LEADS” platform of Compugen LTD for analyzing human genome have been confirmed and accepted by the scientific community [see e.g., “Widespread Antisense Transcription”, Yelin, et al. (2003) Nature Biotechnology 21, 379-85; “Splicing of Alu Sequences”, Lev-Maor, et al. (2003) Science 300 (5623), 1288-91; “Computational analysis of alternative splicing using EST tissue information”, Xie H et al. Genomics 2002], and have been proven most efficient in plant genomics as well.

EST clustering and gene assembly—For gene clustering and assembly of organisms with available genome sequence data (arabidopsis, rice, castorbean, grape, brachypodium, poplar, soybean, sorghum) the genomic LEADS version (GANG) was employed. This tool allows most accurate clustering of ESTs and mRNA sequences on genome, and predicts gene structure as well as alternative splicing events and anti-sense transcription.

For organisms with no available full genome sequence data, “expressed LEADS” clustering software was applied.

Gene annotation—Predicted genes and proteins were annotated as follows:

Sequences blast search [blast (dot) ncbi (dot) nlm (dot) nih (dot) gov/Blast (dot) cgi] against all plant UniProt [uniprot (dot) org/] was performed. Open reading frames of each putative transcript were analyzed and longest ORF with higher number of homologues was selected as predicted protein of the transcript. The predicted proteins were analyzed by InterPro [ebi (dot) ac (dot) uk/interpro/].

Blast against proteins from AraCyc and ENZYME databases was used to map the predicted transcripts to AraCyc pathways.

Predicted proteins from different species were compared using blast algorithm [ncbi (dot) nlm (dot) nih (dot) gov/Blast (dot) cgi] to validate the accuracy of the predicted protein sequence, and for efficient detection of orthologs.

Gene expression profiling—Several data sources were exploited for gene expression profiling, namely microarray data and digital expression profile (see below). According to gene expression profile, a correlation analysis was performed to identify genes which are co-regulated under different development stages and environmental conditions and associated with different phenotypes.

Publicly available microarray datasets were downloaded from TAIR and NCBI GEO sites, renormalized, and integrated into the database. Expression profiling is one of the most important resource data for identifying genes important for yield.

A digital expression profile summary was compiled for each cluster according to all keywords included in the sequence records comprising the cluster. Digital expression, also known as electronic Northern Blot, is a tool that displays virtual expression profile based on the EST sequences forming the gene cluster. The tool provides the expression profile of a cluster in terms of plant anatomy (e.g., the tissue/organ in which the gene is expressed), developmental stage (the developmental stages at which a gene can be found) and profile of treatment (provides the physiological conditions under which a gene is expressed such as drought, cold, pathogen infection, etc). Given a random distribution of ESTs in the different clusters, the digital expression provides a probability value that describes the probability of a cluster having a total of N ESTs to contain X ESTs from a certain collection of libraries. For the probability calculations, the following is taken into consideration: a) the number of ESTs in the cluster, b) the number of ESTs of the implicated and related libraries, c) the overall number of ESTs available representing the species. Thereby clusters with low probability values are highly enriched with ESTs from the group of libraries of interest indicating a specialized expression.

Recently, the accuracy of this system was demonstrated by Portnoy et al., 2009 (Analysis Of The Melon Fruit Transcriptome Based On 454 Pyrosequencing) in: Plant & Animal Genomes XVII Conference, San Diego, Calif. Transcriptomeic analysis, based on relative EST abundance in data was performed by 454 pyrosequencing of cDNA representing mRNA of the melon fruit. Fourteen double strand cDNA samples obtained from two genotypes, two fruit tissues (flesh and rind) and four developmental stages were sequenced. GS FLX pyrosequencing (Roche/454 Life Sciences) of non-normalized and purified cDNA samples yielded 1,150,657 expressed sequence tags (ESTs) that assembled into 67,477 unigenes (32,357 singletons and 35,120 contigs). Analysis of the data obtained against the Cucurbit Genomics Database [icugi (dot) org/] confirmed the accuracy of the sequencing and assembly. Expression patterns of selected genes fitted well their qRT-PCR data.

Overall, 95 genes were identified to have a major impact on nitrogen use efficiency, fertilizer use efficiency, yield (e.g., seed yield, oil yield, grain quantity and/or quality), growth rate, vigor, biomass, oil content, fiber yield, fiber quality, fiber length, abiotic stress tolerance and/or water use efficiency when expression thereof is increased in plants. The identified genes, their curated polynucleotide and polypeptide sequences, as well as their updated sequences according to GenBank database are summarized in Table 1, hereinbelow.

TABLE 1 Identified polynucleotides for increasing nitrogen use efficiency, fertilizer use efficiency, yield, growth rate, vigor, biomass, oil content, fiber yield, fiber quality, fiber length, abiotic stress tolerance and/or water use efficiency of a plant Polyn. SEQ Polyp. SEQ Gene Name Cluster Name Organism ID NO: ID NO: WNU1 foxtail_millet|11v3| foxtail_millet 1 202 PHY7SI037360M WNU2 sorghum|12v1|SB02G035890 sorghum 2 203 WNU3 sorghum|12v1|SB03G037360 sorghum 3 204 WNU5 arabidopsis|10v1|AT1G76520 arabidopsis 4 205 WNU6 arabidopsis|10v1|AT2G41310 arabidopsis 5 206 WNU7 arabidopsis|10v1|AT5G64550 arabidopsis 6 207 WNU8 barley|10v2|AJ234434 barley 7 208 WNU9 barley|10v2|AJ467179 barley 8 209 WNU10 barley|10v2|AV835513 barley 9 210 WNU11 barley|10v2|BE195092 barley 10 211 WNU12 barley|10v2|BE216643 barley 11 212 WNU13 barley|10v2|BE412689 barley 12 213 WNU14 barley|10v2|BE412739 barley 13 214 WNU15 barley|10v2|BE413497 barley 14 215 WNU16 barley|10v2|BE413575 barley 15 216 WNU17 barley|10v2|BE420881 barley 16 217 WNU18 barley|10v2|BE421902 barley 17 218 WNU19 barley|10v2|BE438925 barley 18 219 WNU20 barley|10v2|BE455654 barley 19 220 WNU21 barley|10v2|BF260947 barley 20 221 WNU22 barley|10v2|BF263283 barley 21 222 WNU23 barley|10v2|BF617606 barley 22 223 WNU25 barley|10v2|BF623217 barley 23 224 WNU26 barley|10v2|BF623477 barley 24 225 WNU27 barley|10v2|BF626052 barley 25 226 WNU28 barley|10v2|BI778944 barley 26 227 WNU29 barley|10v2|BI947135 barley 27 228 WNU30 barley|10v2|BI947599 barley 28 229 WNU31 barley|10v2|BI950946 barley 29 230 WNU32 barley|10v2|BJ464604 barley 30 231 WNU33 barley|10v2|BQ458968 barley 31 232 WNU34 barley|12v1|AV835440 barley 32 233 WNU35 barley|12v1|BE196061 barley 33 234 WNU36 barley|12v1|BE412448 barley 34 235 WNU37 barley|12v1|BE455619 barley 35 236 WNU38 barley|12v1|BF257030 barley 36 237 WNU39 barley|12v1|BF260630 barley 37 238 WNU40 barley|12v1|BF622946 barley 38 239 WNU41 barley|12v1|BI957485 barley 39 240 WNU42 barley|12v1|BI958608 barley 40 241 WNU43 barley|12v1|BM370758 barley 41 242 WNU44 barley|12v1|BM376567 barley 42 243 WNU45 brachypodium|12v1| brachypodium 43 244 BRADI1G03390 WNU46 brachypodium|12v1| brachypodium 44 245 BRADI1G59650 WNU47 brachypodium|12v1| brachypodium 45 246 BRADI1G67410 WNU49 brachypodium|12v1| brachypodium 46 247 BRADI2G19790 WNU50 brachypodium|12v1| brachypodium 47 248 BRADI2G36910 WNU51 brachypodium|12v1| brachypodium 48 249 BRADI2G45450 WNU52 brachypodium|12v1| brachypodium 49 250 BRADI2G54400 WNU53 foxtail_millet|11v3|EC612057 foxtail_millet 50 251 WNU54 foxtail_millet|11v3|EC613339 foxtail_millet 51 252 WNU55 foxtail_millet|11v3|EC613521 foxtail_millet 52 253 WNU56 foxtail_millet|11v3|EC613638 foxtail_millet 53 254 WNU57 foxtail_millet|11v3|EC613764 foxtail_millet 54 255 WNU58 foxtail_millet|11v3| foxtail_millet 55 256 PHY7SI002694M WNU60 foxtail_millet|11v3| foxtail_millet 56 257 PHY7SI004807M WNU61 foxtail_millet|11v3| foxtail_millet 57 258 PHY7SI006776M WNU63 foxtail_millet|11v3| foxtail_millet 58 259 PHY7SI010781M WNU65 foxtail_millet|11v3| foxtail_millet 59 260 PHY7SI011960M WNU66 foxtail_millet|11v3| foxtail_millet 60 261 PHY7SI016756M WNU67 foxtail_millet|11v3| foxtail_millet 61 262 PHY7SI016983M WNU68 foxtail_millet|11v3| foxtail_millet 62 263 PHY7SI018426M WNU69 foxtail_millet|11v3| foxtail_millet 63 264 PHY7SI020976M WNU70 foxtail_millet|11v3| foxtail_millet 64 265 PHY7SI021004M WNU71 foxtail_millet|11v3| foxtail_millet 65 266 PHY7SI029993M WNU72 foxtail_millet|11v3| foxtail_millet 66 267 PHY7SI035252M WNU73 foxtail_millet|11v3| foxtail_millet 67 268 PHY7SI035778M WNU74 foxtail_millet|11v3| foxtail_millet 68 269 PHY7SI036478M WNU75 maize|10v1|AI629766 maize 69 270 WNU76 maize|10v1|AI947957 maize 70 271 WNU77 maize|10v1|AI948358 maize 71 272 WNU78 maize|10v1|AI966985 maize 72 273 WNU80 maize|10v1|AW053253 maize 73 274 WNU81 maize|10v1|AW225099 maize 74 275 WNU82 maize|10v1|BI643478 maize 75 276 WNU83 maize|10v1|BM379051 maize 76 277 WNU85 rice|11v1|BI804924 rice 77 278 WNU87 rice|11v1|OSU77294 rice 78 279 WNU90 sorghum|12v1|EVOER2582 sorghum 79 280 WNU91 sorghum|12v1|SB01G005000 sorghum 80 281 WNU92 sorghum|12v1|SB01G028940 sorghum 81 282 WNU93 sorghum|12v1|SB03G008180 sorghum 82 283 WNU94 sorghum|12v1|SB03G034010 sorghum 83 284 WNU96 sorghum|12v1|SB04G004680 sorghum 84 285 WNU97 sorghum|12v1|SB04G009980 sorghum 85 286 WNU98 sorghum|12v1|SB04G026160 sorghum 86 287 WNU99 sorghum|12v1|SB09G000320 sorghum 87 288 WNU100 sorghum|12v1|SB09G018070P1 sorghum 88 289 WNU101 sorghum|12v1|SB10G007680 sorghum 89 290 WNU102 wheat|10v2|BE415420 wheat 90 291 WNU103 wheat|12v1|BM140581 wheat 91 292 WNU104 maize|10v1|AW308714 maize 92 293 WNU105 sorghum|12v1|SB02G031390 sorghum 93 294 WNU103_ rice|11v1|AA749605 rice 94 295 H11 WNU22_H1 wheat|12v3|BE585479 wheat 95 296 WNU1 foxtail_millet|11v3| foxtail_millet 96 297 PHY7SI037360M WNU10 barley|10v2|AV835513 barley 97 298 WNU12 barley|10v2|BE216643 barley 98 299 WNU22 barley|10v2|BF263283 barley 99 300 WNU36 barley|12v1|BE412448 barley 100 301 WNU41 barley|12v1|BI957485 barley 101 302 WNU42 barley|12v1|BI958608 barley 102 241 WNU45 brachypodium|12v1| brachypodium 103 244 BRADI1G03390 WNU51 brachypodium|12v1| brachypodium 104 249 BRADI2G45450 WNU60 foxtail_millet|11v3| foxtail_millet 105 257 PHY7SI004807M WNU61 foxtail_millet|11v3| foxtail_millet 106 303 PHY7SI006776M WNU65 foxtail_millet|11v3| foxtail_millet 107 260 PHY7SI011960M WNU67 foxtail_millet|11v3| foxtail_millet 108 262 PHY7SI016983M WNU90 sorghum|12v1|EVOER2582 sorghum 109 304 WNU103_ rice|11v1|AA749605 rice 110 295 H11 WNU22_H1 wheat|12v3|BE585479 wheat 111 296 WNU1 foxtail_millet|11v3| foxtail_millet 112 202 PHY7SI037360M WNU2 sorghum|12v1|SB02G035890 sorghum 113 203 WNU3 sorghum|12v1|SB03G037360 sorghum 114 204 WNU5 arabidopsis|10v1|AT1G76520 arabidopsis 115 205 WNU6 arabidopsis|10v1|AT2G41310 arabidopsis 116 206 WNU7 arabidopsis|10v1|AT5G64550 arabidopsis 117 207 WNU8 barley|10v2|AJ234434 barley 118 208 WNU9 barley|10v2|AJ467179 barley 119 209 WNU11 barley|10v2|BE195092 barley 120 211 WNU12 barley|10v2|BE216643 barley 121 305 WNU13 barley|10v2|BE412689 barley 122 213 WNU14 barley|10v2|BE412739 barley 123 306 WNU15 barley|10v2|BE413497 barley 124 215 WNU16 barley|10v2|BE413575 barley 125 216 WNU17 barley|10v2|BE420881 barley 126 217 WNU18 barley|10v2|BE421902 barley 127 218 WNU19 barley|10v2|BE438925 barley 128 219 WNU20 barley|10v2|BE455654 barley 129 220 WNU21 barley|10v2|BF260947 barley 130 307 WNU23 barley|10v2|BF617606 barley 131 223 WNU25 barley|10v2|BF623217 barley 132 224 WNU26 barley|10v2|BF623477 barley 133 225 WNU27 barley|10v2|BF626052 barley 134 308 WNU28 barley|10v2|BI778944 barley 135 309 WNU29 barley|10v2|BI947135 barley 136 228 WNU30 barley|10v2|BI947599 barley 137 229 WNU31 barley|10v2|BI950946 barley 138 230 WNU32 barley|10v2|BJ464604 barley 139 231 WNU33 barley|10v2|BQ458968 barley 140 232 WNU34 barley|12v1|AV835440 barley 141 310 WNU35 barley|12v1|BE196061 barley 142 234 WNU37 barley|12v1|BE455619 barley 143 311 WNU38 barley|12v1|BF257030 barley 144 237 WNU39 barley|12v1|BF260630 barley 145 238 WNU40 barley|12v1|BF622946 barley 146 239 WNU41 barley|12v1|BI957485 barley 147 312 WNU42 barley|12v1|BI958608 barley 148 241 WNU43 barley|12v1|BM370758 barley 149 242 WNU44 barley|12v1|BM376567 barley 150 243 WNU45 brachypodium|12v1| brachypodium 151 244 BRADI1G03390 WNU46 brachypodium|12v1| brachypodium 152 245 BRADI1G59650 WNU47 brachypodium|12v1| brachypodium 153 246 BRADI1G67410 WNU49 brachypodium|12v1| brachypodium 154 247 BRADI2G19790 WNU50 brachypodium|12v1| brachypodium 155 313 BRADI2G36910 WNU51 brachypodium|12v1| brachypodium 156 314 BRADI2G45450 WNU52 brachypodium|12v1| brachypodium 157 250 BRADI2G54400 WNU54 foxtail_millet|11v3|EC613339 foxtail_millet 158 252 WNU55 foxtail_millet|11v3|EC613521 foxtail_millet 159 253 WNU56 foxtail_millet|11v3|EC613638 foxtail_millet 160 254 WNU57 foxtail_millet|11v3|EC613764 foxtail_millet 161 255 WNU58 foxtail_millet|11v3| foxtail_millet 162 256 PHY7SI002694M WNU60 foxtail_millet|11v3| foxtail_millet 163 257 PHY7SI004807M WNU61 foxtail_millet|11v3| foxtail_millet 164 315 PHY7SI006776M WNU63 foxtail_millet|11v3| foxtail_millet 165 316 PHY7SI010781M WNU65 foxtail_millet|11v3| foxtail_millet 166 260 PHY7SI011960M WNU66 foxtail_millet|11v3| foxtail_millet 167 261 PHY7SI016756M WNU67 foxtail_millet|11v3| foxtail_millet 168 262 PHY7SI016983M WNU68 foxtail_millet|11v3| foxtail_millet 169 263 PHY7SI018426M WNU69 foxtail_millet|11v3| foxtail_millet 170 264 PHY7SI020976M WNU70 foxtail_millet|11v3| foxtail_millet 171 265 PHY7SI021004M WNU71 foxtail_millet|11v3| foxtail_millet 172 266 PHY7SI029993M WNU72 foxtail_millet|11v3| foxtail_millet 173 267 PHY7SI035252M WNU73 foxtail_millet|11v3| foxtail_millet 174 268 PHY7SI035778M WNU74 foxtail_millet|11v3| foxtail_millet 175 317 PHY7SI036478M WNU75 maize|10v1|AI629766 maize 176 270 WNU76 maize|10v1|AI947957 maize 177 318 WNU77 maize|10v1|AI1948358 maize 178 272 WNU78 maize|10v1|AI1966985 maize 179 319 WNU80 maize|10v1|AW053253 maize 180 320 WNU81 maize|10v1|AW225099 maize 181 321 WNU82 maize|10v1|BI643478 maize 182 322 WNU83 maize|10v1|BM379051 maize 183 323 WNU85 rice|11v1|BI804924 rice 184 324 WNU87 rice|11v1|OSU77294 rice 185 279 WNU90 sorghum|12v1|EVOER2582 sorghum 186 280 WNU91 sorghum|12v1|SB01G005000 sorghum 187 281 WNU92 sorghum|12v1|SB01G028940 sorghum 188 282 WNU93 sorghum|12v1|SB03G008180 sorghum 189 283 WNU94 sorghum|12v1|SB03G034010 sorghum 190 284 WNU96 sorghum|12v1|SB04G004680 sorghum 191 285 WNU97 sorghum|12v1|SB04G009980 sorghum 192 286 WNU98 sorghum|12v1|SB04G026160 sorghum 193 325 WNU99 sorghum|12v1|SB09G000320 sorghum 194 326 WNU100 sorghum|12v1| sorghum 195 289 SB09G018070P1 WNU101 sorghum|12v1|SB10G007680 sorghum 196 290 WNU102 wheat|10v2|BE415420 wheat 197 291 WNU104 maize|10v1|AW308714 maize 198 293 WNU105 sorghum|12v1|SB02G031390 sorghum 199 294 WNU103_ rice|11v|AA749605 rice 200 295 H11 WNU22_H1 wheat|12v3|BE585479 wheat 201 327 Table 1. “Polyp.” = polypeptide; “Polyn.”—Polynucleotide.

Example 2 Identification of Homologous Sequences that Increase Nitrogen Use Efficiency, Fertilizer Use Efficiency, Yield, Growth Rate, Vigor, Biomass, Oil Content, Abiotic Stress Tolerance and/or Water Use Efficiency in Plants

The concepts of orthology and paralogy have recently been applied to functional characterizations and classifications on the scale of whole-genome comparisons. Orthologs and paralogs constitute two major types of homologs: The first evolved from a common ancestor by specialization, and the latter is related by duplication events. It is assumed that paralogs arising from ancient duplication events are likely to have diverged in function while true orthologs are more likely to retain identical function over evolutionary time.

To further investigate and identify putative orthologs of the genes affecting nitrogen use efficiency, fertilizer use efficiency, yield (e.g., seed yield, oil yield, grain quantity and/or quality), growth rate, vigor, biomass, oil content, abiotic stress tolerance and/or water use efficiency, all sequences were aligned using the BLAST (/Basic Local Alignment Search Tool/). Sequences sufficiently similar were tentatively grouped. These putative orthologs were further organized under a Phylogram—a branching diagram (tree) assumed to be a representation of the evolutionary relationships among the biological taxa. Putative ortholog groups were analyzed as to their agreement with the phylogram and in cases of disagreements these ortholog groups were broken accordingly. Expression data was analyzed and the EST libraries were classified using a fixed vocabulary of custom terms such as developmental stages (e.g., genes showing similar expression profile through development with up regulation at specific stage, such as at the seed filling stage) and/or plant organ (e.g., genes showing similar expression profile across their organs with up regulation at specific organs such as seed). The annotations from all the ESTs clustered to a gene were analyzed statistically by comparing their frequency in the cluster versus their abundance in the database, allowing the construction of a numeric and graphic expression profile of that gene, which is termed “digital expression”. The rationale of using these two complementary methods with methods of phenotypic association studies of QTLs, SNPs and phenotype expression correlation is based on the assumption that true orthologs are likely to retain identical function over evolutionary time. These methods provide different sets of indications on function similarities between two homologous genes, similarities in the sequence level—identical amino acids in the protein domains and similarity in expression profiles.

The search and identification of homologous genes involves the screening of sequence information available, for example, in public databases, which include but are not limited to the DNA Database of Japan (DDBJ), Genbank, and the European Molecular Biology Laboratory Nucleic Acid Sequence Database (EMBL) or versions thereof or the MIPS database. A number of different search algorithms have been developed, including but not limited to the suite of programs referred to as BLAST programs. There are five implementations of BLAST, three designed for nucleotide sequence queries (BLASTN, BLASTX, and TBLASTX) and two designed for protein sequence queries (BLASTP and TBLASTN) (Coulson, Trends in Biotechnology: 76-80, 1994; Birren et al., Genome Analysis, I: 543, 1997). Such methods involve alignment and comparison of sequences. The BLAST algorithm calculates percent sequence identity and performs a statistical analysis of the similarity between the two sequences. The software for performing BLAST analysis is publicly available through the National Centre for Biotechnology Information. Other such software or algorithms are GAP, BESTFIT, FASTA and TFASTA. GAP uses the algorithm of Needleman and Wunsch (J. Mol. Biol. 48: 443-453, 1970) to find the alignment of two complete sequences that maximizes the number of matches and minimizes the number of gaps.

The homologous genes may belong to the same gene family. The analysis of a gene family may be carried out using sequence similarity analysis. To perform this analysis one may use standard programs for multiple alignments e.g. Clustal W. A neighbor-joining tree of the proteins homologous to the genes of some embodiments of the invention may be used to provide an overview of structural and ancestral relationships. Sequence identity may be calculated using an alignment program as described above. It is expected that other plants will carry a similar functional gene (orthologue) or a family of similar genes and those genes will provide the same preferred phenotype as the genes presented here. Advantageously, these family members may be useful in the methods of some embodiments of the invention. Example of other plants include, but not limited to, barley (Hordeum vulgare), Arabidopsis (Arabidopsis thaliana), maize (Zea mays), cotton (Gossypium), Oilseed rape (Brassica napus), Rice (Oryza sativa), Sugar cane (Saccharum officinarum), Sorghum (Sorghum bicolor), Soybean (Glycine max), Sunflower (Helianthus annuus), Tomato (Lycopersicon esculentum) and Wheat (Triticum aestivum)

The above-mentioned analyses for sequence homology is preferably carried out on a full-length sequence, but may also be based on a comparison of certain regions such as conserved domains. The identification of such domains, would also be well within the realm of the person skilled in the art and would involve, for example, a computer readable format of the nucleic acids of some embodiments of the invention, the use of alignment software programs and the use of publicly available information on protein domains, conserved motifs and boxes. This information is available in the PRODOM (biochem (dot) ucl (dot) ac (dot) uk/bsm/dbbrowser/protocol/prodomqry (dot) html), PIR (pir (dot) Georgetown (dot) edu/) or Pfam (sanger (dot) ac (dot) uk/Software/Pfam/) database. Sequence analysis programs designed for motif searching may be used for identification of fragments, regions and conserved domains as mentioned above. Preferred computer programs include, but are not limited to, MEME, SIGNALSCAN, and GENESCAN.

A person skilled in the art may use the homologous sequences provided herein to find similar sequences in other species and other organisms. Homologues of a protein encompass, peptides, oligopeptides, polypeptides, proteins and enzymes having amino acid substitutions, deletions and/or insertions relative to the unmodified protein in question and having similar biological and functional activity as the unmodified protein from which they are derived. To produce such homologues, amino acids of the protein may be replaced by other amino acids having similar properties (conservative changes, such as similar hydrophobicity, hydrophilicity, antigenicity, propensity to form or break a-helical structures or 3-sheet structures). Conservative substitution Tables are well known in the art [see for example Creighton (1984) Proteins. W.H. Freeman and Company]. Homologues of a nucleic acid encompass nucleic acids having nucleotide substitutions, deletions and/or insertions relative to the unmodified nucleic acid in question and having similar biological and functional activity as the unmodified nucleic acid from which they are derived.

Polynucleotides and polypeptides with significant homology to the identified genes described in Table 1 (Example 1 above) were identified from the databases using BLAST software with the Blastp and tBlastn algorithms as filters for the first stage, and the needle (EMBOSS package) or Frame+ algorithm alignment for the second stage. Local identity (Blast alignments) was defined with a very permissive cutoff—60% Identity on a span of 60% of the sequences lengths because it is used only as a filter for the global alignment stage. The default filtering of the Blast package was not utilized (by setting the parameter “-F F”).

In the second stage, homologs were defined based on a global identity of at least 80% to the core gene polypeptide sequence.

Two distinct forms for finding the optimal global alignment for protein or nucleotide sequences were used in this application:

1. Between two proteins (following the blastp filter): EMBOSS-6.0.1 Needleman-Wunsch algorithm with the following modified parameters: gapopen=8 gapextend=2. The rest of the parameters were unchanged from the default options described hereinabove.

2. Between a protein sequence and a nucleotide sequence (following the tblastn filter):

GenCore 6.0 OneModel application utilizing the Frame+algorithm with the following parameters: model=frame+_p2n.model mode=qglobal-q=protein.sequence-db=nucleotide.sequence. The rest of the parameters were unchanged from the default options described hereinabove.

The query polypeptide sequences were SEQ ID NOs: 202-327 and the query polynucleotides were SEQ ID NOs:1-201, and the identified orthologous and homologous sequences having at least 80% global sequence identity are provided in Table 2, below. These homologous (e.g., orthologues) genes are expected to increase plant's nitrogen use efficiency (NUE), yield, seed yield, oil yield, oil content, growth rate, fiber yield, fiber quality, photosynthetic capacity, biomass, vigor, and/or abiotic stress tolerance (ABST).

TABLE 2 Homologues (e.g., orthologues) of the identified genes/polypeptides for increasing nitrogen use efficiency, fertilizer use efficiency, yield, seed yield, growth rate, vigor, biomass, oil content, fiber yield, fiber quality, fiber length, abiotic stress tolerance and/or water use efficiency of a plant Hom. Polyn. SEQ Polyp. SEQ To SEQ % glob. Hom. Name Organism/cluster name ID NO: ID NO: ID NO: Ident. Algor. WNU2_H1 maize|10v1|CD434995_T1 328 4063 203 87.9 glotblastn WNU2_H2 brachypodium|12v1|BRADI1G25187_T1 329 4064 203 84.3 glotblastn WNU2_H3 rice|11v1|AU066228 330 4065 203 84.3 globlastp WNU2_H4 wheat|12v3|BE445814 331 4066 203 82.2 glotblastn WNU2_H5 brachypodium|12v1|BRADI1G25200_P1 332 4067 203 81.9 globlastp WNU2_H6 rye|12v1|DRR001012.123320 333 4068 203 80 globlastp WNU3_H1 sugarcane|10v1|CA070079 334 4069 204 98.3 globlastp WNU3_H2 maize|10v1|AW066630_P1 335 4070 204 96.7 globlastp WNU3_H3 maize|10v1|AW360637_P1 336 4071 204 96.7 globlastp WNU3_H4 foxtail_millet|11v3|PHY7SI001983M_P1 337 4072 204 96.4 globlastp WNU3_H5 foxtail_millet|11v3|SICRP017558_P1 338 4072 204 96.4 globlastp WNU3_H34 switchgrass|12v1|DN146112_P1 339 4073 204 95.6 globlastp WNU3_H6 switchgrass|gb167|DN146112 340 4073 204 95.6 globlastp WNU3_H7 rice|11v1|AB117888 341 4074 204 92.8 glotblastn WNU3_H8 rice|11v1|CF954746 342 4075 204 92.3 globlastp WNU3_H9 brachypodium|12v1|BRADI2G52660_P1 343 4076 204 91.7 globlastp WNU3_H35 switchgrass|12v1|DN141545_P1 344 4077 204 91.1 globlastp WNU3_H10 switchgrass|gb167|DN141545 345 4077 204 91.1 globlastp WNU3_H11 foxtail_millet|11v3|PHY7SI022489M_P1 346 4078 204 90.9 globlastp WNU3_H12 maize|10v1|AI941668_P1 347 4079 204 90.9 globlastp WNU3_H13 barley|12v1|BI950534_P1 348 4080 204 90.6 globlastp WNU3_H14 barley|12v1|HV12v1CRP158093_P1 349 4080 204 90.6 globlastp WNU3_H15 sorghum|12v1|SB09G024250 350 4081 204 90.6 globlastp WNU3_H16 sugarcane|10v1|CA071700 351 4082 204 90.6 globlastp WNU3_H17 rye|12v1|DRR001012.100986 352 4083 204 90.3 globlastp WNU3_H18 rye|12v1|DRR001012.135608 353 4083 204 90.3 globlastp WNU3_H19 wheat|12v3|BE400917 354 4084 204 90.1 globlastp WNU3_H20 cenchrus|gb166|EB652730_P1 355 4085 204 90 globlastp WNU3_H21 maize|10v1|AI372366_P1 356 4086 204 90 globlastp WNU3_H22 oat|11v1|GR345828_P1 357 4087 204 89.8 globlastp WNU3_H23 rice|11v1|BM419281 358 4088 204 89.2 globlastp WNU3_H24 barley|12v1|BG299553_P1 359 4089 204 88.6 globlastp WNU3_H25 brachypodium|12v1|BRADI2G21250_P1 360 4090 204 88.6 globlastp WNU3_H26 wheat|12v3|BE401506 361 4091 204 88.6 globlastp WNU3_H27 oat|11v1|CN819547_P1 362 4092 204 88.1 globlastp WNU3_H28 rye|12v1|DRR001012.109054 363 4093 204 87.5 globlastp WNU3_H29 rye|12v1|DRR001012.134389 364 4093 204 87.5 globlastp WNU3_H30 pseudoroegneria|gb167|FF340600 365 4094 204 86.46 glotblastn WNU3_H31 banana|12v1|MAGEN2012002795_P1 366 4095 204 84.3 globlastp WNU3_H32 barley|12v1|AV910390_P1 367 4096 204 84.1 globlastp WNU3_H33 banana|12v1|FL651443_P1 368 4097 204 83 globlastp WNU5_H1 arabidopsis_lyrata|09v1|TMPLAT1G76520T1_P1 369 205 205 100 globlastp WNU5_H2 arabidopsis_lyrata|09v1|JGIAL007927_P1 370 4098 205 98 globlastp WNU5_H3 b_rapa|11v1|BRA015736_P1 371 4099 205 89.2 globlastp WNU5_H4 thellungiella_halophilum|11v1|DN779143 372 4100 205 88.7 globlastp WNU5_H5 b_rapa|11v1|EV104238_P1 373 4101 205 87.4 globlastp WNU5_H6 canola|11v1|EV104238_P1 374 4102 205 86.9 globlastp WNU5_H7 radish|gb164|EX756195 375 4103 205 86.2 globlastp WNU5_H8 b_rapa|11v1|EV223158_P1 376 4104 205 84.1 globlastp WNU5_H9 radish|gb164|EX895073 377 4105 205 81.93 glotblastn WNU6_H1 arabidopsis_lyrata|09v1|JGIAL015429_P1 378 4106 206 94.7 globlastp WNU6_H2 thellungiella_parvulum|11v1|EPCRP016603 379 4107 206 85.5 globlastp WNU6_H3 b_rapa|11v1|EE568935_P1 380 4108 206 85 globlastp WNU6_H4 canola|11v1|SRR329661.151100_P1 381 4109 206 83.7 globlastp WNU6_H5 thellungiella_halophilum|11v1|EHJGI11001006 382 4110 206 83.6 globlastp WNU6_H6 canola|11v1|EE568935_T1 383 4111 206 83.26 glotblastn WNU6_H7 b_rapa|11v1|ES912747_P1 384 4112 206 83.2 globlastp WNU6_H8 canola|11v1|ES912747_P1 385 4113 206 83.2 globlastp WNU6_H9 canola|11v1|EV016118_P1 386 4114 206 82.3 globlastp WNU6_H10 radish|gb164|FD951571 387 4115 206 82.3 globlastp WNU7_H1 thellungiella_parvulum|11v1|BY830354 388 4116 207 92.6 globlastp WNU7_H2 arabidopsis_lyrata|09v1|JGIAL031129_P1 389 4117 207 91.5 globlastp WNU7_H3 thellungiella_halophilum|11v1|BY830354 390 4118 207 90 globlastp WNU7_H4 b_rapa|11v1|CO749935_P1 391 4119 207 85.7 globlastp WNU8_H1 rye|12v1|BE495472 392 208 208 100 globlastp WNU8_H2 rye|12v1|BE587609 393 208 208 100 globlastp WNU8_H3 rye|12v1|DRR001012.100384 394 208 208 100 globlastp WNU8_H4 rye|12v1|DRR001012.101919 395 208 208 100 globlastp WNU8_H5 rye|12v1|DRR001012.103485 396 208 208 100 globlastp WNU8_H6 rye|12v1|DRR001012.104321 397 208 208 100 globlastp WNU8_H7 rye|12v1|DRR001012.112767 398 208 208 100 globlastp WNU8_H8 rye|12v1|DRR001012.11902 399 208 208 100 globlastp WNU8_H9 rye|12v1|DRR001012.122152 400 208 208 100 globlastp WNU8_H10 rye|12v1|DRR001012.137813 401 4120 208 100 glotblastn WNU8_H11 rye|12v1|DRR001012.158922 402 208 208 100 globlastp WNU8_H12 rye|12v1|DRR001012.201080 403 208 208 100 globlastp WNU8_H13 rye|12v1|DRR001012.213076 404 208 208 100 globlastp WNU8_H14 rye|12v1|DRR001012.848887 405 208 208 100 globlastp WNU8_H15 wheat|12v3|BE398175 406 208 208 100 globlastp WNU8_H16 wheat|12v3|BE398223 407 208 208 100 globlastp WNU8_H17 wheat|12v3|BE398691 408 208 208 100 globlastp WNU8_H18 wheat|12v3|BE399072 409 208 208 100 globlastp WNU8_H19 wheat|12v3|BE399356 410 208 208 100 globlastp WNU8_H20 wheat|12v3|BE399404 411 208 208 100 globlastp WNU8_H21 wheat|12v3|BE406548 412 208 208 100 globlastp WNU8_H22 wheat|12v3|BE413915 413 208 208 100 globlastp WNU8_H23 wheat|12v3|BE415959 414 208 208 100 globlastp WNU8_H24 wheat|12v3|WHTTEF1X 415 208 208 100 globlastp WNU8_H25 wheat|12v3|BE398307 416 4121 208 99.8 globlastp WNU8_H26 rye|12v1|DRR001012.270934 417 4122 208 99.78 glotblastn WNU8_H27 wheat|12v3|BE406853 418 4123 208 99.78 glotblastn WNU8_H28 wheat|12v3|BE403574 419 4124 208 99.6 globlastp WNU8_H29 rye|12v1|DRR001012.172851 420 4125 208 99.33 glotblastn WNU8_H30 rye|12v1|EU153587 421 4126 208 99.33 glotblastn WNU8_H31 wheat|12v3|BE398292 422 4127 208 99.3 globlastp WNU8_H32 wheat|12v3|BE398872 423 4127 208 99.3 globlastp WNU8_H33 wheat|12v3|BE400214 424 4127 208 99.3 globlastp WNU8_H34 wheat|12v3|BE407014 425 4127 208 99.3 globlastp WNU8_H35 wheat|12v3|BE590945 426 4128 208 99.3 globlastp WNU8_H36 rye|12v1|DRR001012.118155 427 4129 208 99.1 globlastp WNU8_H37 wheat|12v3|BE398530 428 4130 208 99.1 globlastp WNU8_H38 oat|11v1|CN815245_P1 429 4131 208 98.9 globlastp WNU8_H39 rye|12v1|DRR001012.106186 430 4132 208 98.9 globlastp WNU8_H40 oat|11v1|GO583634_P1 431 4133 208 98.7 globlastp WNU8_H41 oat|11v1|GO585413_P1 432 4133 208 98.7 globlastp WNU8_H42 oat|11v1|GO586258_P1 433 4133 208 98.7 globlastp WNU8_H43 brachypodium|12v1|BRADI0012S00200T2_P1 434 4134 208 98.2 globlastp WNU8_H44 brachypodium|12v1|BRADI1G06860T2_P1 435 4134 208 98.2 globlastp WNU8_H45 brachypodium|12v1|BRADI1G06860_P1 436 4134 208 98.2 globlastp WNU8_H46 brachypodium|12v1|BRADI1G06870_P1 437 4134 208 98.2 globlastp WNU8_H47 brachypodium|12v1|BRADI4G12750T2_P1 438 4134 208 98.2 globlastp WNU8_H48 rye|12v1|DRR001012.341337 439 4135 208 97.8 globlastp WNU8_H49 brachypodium|12v1|BDPRD12V1008469_T1 440 4136 208 97.32 glotblastn WNU8_H50 brachypodium|12v1|BDCRP12V1052162_P1 441 4137 208 97.3 globlastp WNU8_H51 pigeonpea|11v1|GR464509_P1 442 4138 208 97.1 globlastp WNU8_H52 cowpea|12v1|FC456669_P1 443 4139 208 96.9 globlastp WNU8_H53 peanut|10v1|CD038354_P1 444 4140 208 96.9 globlastp WNU8_H54 pigeonpea|11v1|GW359244_P1 445 4141 208 96.9 globlastp WNU8_H55 soybean|11v1|GLYMA16G07350 446 4142 208 96.9 globlastp WNU8_H55 soybean|12v1|GLYMA16G07350_P1 447 4142 208 96.9 globlastp WNU8_H56 trigonella|11v1|SRR066194X103703 448 4143 208 96.9 globlastp WNU8_H57 wheat|12v3|BE352631 449 4144 208 96.9 globlastp WNU8_H58 wheat|12v3|BE398718 450 4144 208 96.9 globlastp WNU8_H59 wheat|12v3|BE418288 451 4144 208 96.9 globlastp WNU8_H60 wheat|12v3|BE419649 452 4144 208 96.9 globlastp WNU8_H61 wheat|12v3|BE424307 453 4144 208 96.9 globlastp WNU8_H62 wheat|12v3|BF200050 454 4144 208 96.9 globlastp WNU8_H63 brachypodium|12v1|DV470157_T1 455 4145 208 96.88 glotblastn WNU8_H64 brachypodium|12v1|DV475966_P1 456 4146 208 96.7 globlastp WNU8_H1000 bean|12v2|CA898053_P1 457 4147 208 96.6 globlastp WNU8_H65 apple|11v1|CN489484_P1 458 4148 208 96.6 globlastp WNU8_H66 bean|12v1|CA898053 459 4147 208 96.6 globlastp WNU8_H67 bean|12v1|FG232244 460 4147 208 96.6 globlastp WNU8_H68 cowpea|12v1|FF395866_P1 461 4149 208 96.6 globlastp WNU8_H69 humulus|11v1|ES654484_P1 462 4150 208 96.6 globlastp WNU8_H70 humulus|11v1|ES655751_P1 463 4150 208 96.6 globlastp WNU8_H71 humulus|11v1|EX521150_P1 464 4150 208 96.6 globlastp WNU8_H72 maize|10v1|AI586401_P1 465 4151 208 96.6 globlastp WNU8_H73 maize|10v1|T14798_P1 466 4151 208 96.6 globlastp WNU8_H74 millet|10v1|CD724499_P1 467 4152 208 96.6 globlastp WNU8_H75 millet|10v1|CD725344_P1 468 4152 208 96.6 globlastp WNU8_H76 millet|10v1|CD725865_P1 469 4152 208 96.6 globlastp WNU8_H77 millet|10v1|CD726323_P1 470 4152 208 96.6 globlastp WNU8_H78 millet|10v1|CD726441_P1 471 4152 208 96.6 globlastp WNU8_H79 millet|10v1|EVO454PM000499_P1 472 4152 208 96.6 globlastp WNU8_H80 millet|10v1|EVO454PM000661_P1 473 4152 208 96.6 globlastp WNU8_H81 millet|10v1|EVO454PM001271_P1 474 4152 208 96.6 globlastp WNU8_H82 millet|10v1|EVO454PM001383_P1 475 4152 208 96.6 globlastp WNU8_H83 millet|10v1|EVO454PM002183_P1 476 4152 208 96.6 globlastp WNU8_H84 millet|10v1|EVO454PM003597_P1 477 4152 208 96.6 globlastp WNU8_H85 millet|10v1|EVO454PM005551_P1 478 4152 208 96.6 globlastp WNU8_H86 millet|10v1|EVO454PM015011_P1 479 4152 208 96.6 globlastp WNU8_H87 millet|10v1|EVO454PM032398_P1 480 4152 208 96.6 globlastp WNU8_H88 pigeonpea|11v1|EE604711_P1 481 4153 208 96.6 globlastp WNU8_H89 rice|11v1|AA749924 482 4154 208 96.6 globlastp WNU8_H90 rice|11v1|AA751062 483 4154 208 96.6 globlastp WNU8_H91 rice|11v1|AA751073 484 4154 208 96.6 globlastp WNU8_H92 rice|11v1|AA751266 485 4154 208 96.6 globlastp WNU8_H93 rice|11v1|CB635357 486 4154 208 96.6 globlastp WNU8_H94 rye|12v1|BE494068 487 4155 208 96.6 globlastp WNU8_H95 rye|12v1|BE495285 488 4156 208 96.6 globlastp WNU8_H96 rye|12v1|BE495525 489 4155 208 96.6 globlastp WNU8_H97 rye|12v1|BE704534 490 4155 208 96.6 globlastp WNU8_H98 rye|12v1|DRR001012.101216 491 4157 208 96.6 globlastp WNU8_H99 rye|12v1|DRR001012.102514 492 4158 208 96.6 globlastp WNU8_H100 rye|12v1|DRR001012.103115 493 4158 208 96.6 globlastp WNU8_H101 rye|12v1|DRR001012.143672 494 4158 208 96.6 globlastp WNU8_H102 rye|12v1|DRR001012.186360 495 4158 208 96.6 globlastp WNU8_H103 rye|12v1|DRR001012.311498 496 4155 208 96.6 globlastp WNU8_H104 soybean|11v1|GLYMA19G07240 497 4159 208 96.6 globlastp WNU8_H105 wheat|12v3|BE406571 498 4160 208 96.6 globlastp WNU8_H104, WNU8_H710 soybean|12v1|GLYMA19G07240T3_P1 499 4159 208 96.6 globlastp WNU8_H106 chickpea|11v1|CK148718XX2 500 4161 208 96.42 glotblastn WNU8_H107 millet|10v1|CD724963_T1 501 4162 208 96.42 glotblastn WNU8_H1001 chickpea|13v2|CD051300_P1 502 4163 208 96.4 globlastp WNU8_H1002 chickpea|13v2|GR394715_P1 503 4163 208 96.4 globlastp WNU8_H1003 chickpea|13v2|SRR133517.123761_P1 504 4163 208 96.4 globlastp WNU8_H1004 chickpea|13v2|SRR133517.147659_P1 505 4163 208 96.4 globlastp WNU8_H1005 chickpea|13v2|SRR133517.27793_P1 506 4163 208 96.4 globlastp WNU8_H108 chickpea|11v1|AJ010225XX1 507 4163 208 96.4 globlastp WNU8_H109 chickpea|11v1|GR397423 508 4163 208 96.4 globlastp WNU8_H109 chickpea|13v2|AB024998_P1 509 4163 208 96.4 globlastp WNU8_H110 cotton|11v1|BE055520_P1 510 4164 208 96.4 globlastp WNU8_H111 cucumber|09v1|AT007014_P1 511 4165 208 96.4 globlastp WNU8_H112 cynodon|10v1|ES294218_P1 512 4166 208 96.4 globlastp WNU8_H113 foxtail_millet|11v3|EC612500_P1 513 4167 208 96.4 globlastp WNU8_H114 foxtail_millet|11v3|EC612637_P1 514 4167 208 96.4 globlastp WNU8_H115 gossypium_raimondii|12v1|AI054704_P1 515 4164 208 96.4 globlastp WNU8_H116 maize|10v1|AA051887_P1 516 4168 208 96.4 globlastp WNU8_H117 maize|10v1|AI586642_P1 517 4169 208 96.4 globlastp WNU8_H118 maize|10v1|AI600492_P1 518 4170 208 96.4 globlastp WNU8_H119 maize|10v1|T14745_P1 519 4171 208 96.4 globlastp WNU8_H120 medicago|12v1|AI737510_P1 520 4172 208 96.4 globlastp WNU8_H121 medicago|12v1|AI974390_P1 521 4172 208 96.4 globlastp WNU8_H122 millet|10v1|EVO454PM002847_P1 522 4173 208 96.4 globlastp WNU8_H123 rye|12v1|DRR001012.150591 523 4174 208 96.4 globlastp WNU8_H124 wheat|12v3|BE399763 524 4175 208 96.4 globlastp WNU8_H106, WNU8_H108 chickpea|13v2|AJ010225_P1 525 4163 208 96.4 globlastp WNU8_H1006 chickpea|13v2|GR407792_T1 526 4161 208 96.2 glotblastn WNU8_H1007 chickpea|13v2|SRR133517.157170_T1 527 4176 208 96.2 glotblastn WNU8_H125 aristolochia|10v1|FD748314_P1 528 4177 208 96.2 globlastp WNU8_H126 aristolochia|10v1|FD758456_P1 529 4177 208 96.2 globlastp WNU8_H127 banana|12v1|BBS1834T7_P1 530 4178 208 96.2 globlastp WNU8_H128 cotton|11v1|BM359349_P1 531 4179 208 96.2 globlastp WNU8_H129 cotton|11v1|CO095627_P1 532 4180 208 96.2 globlastp WNU8_H130 cucurbita|11v1|FG227792_P1 533 4181 208 96.2 globlastp WNU8_H131 cucurbita|11v1|SRR091276X135177_P1 534 4182 208 96.2 globlastp WNU8_H132 foxtail_millet|11v3|EC613365_P1 535 4183 208 96.2 globlastp WNU8_H133 foxtail_millet|11v3|EC613737_P1 536 4183 208 96.2 globlastp WNU8_H134 foxtail_millet|11v3|GT228338_P1 537 4183 208 96.2 globlastp WNU8_H135 foxtail_millet|11v3|PHY7SI022036M_P1 538 4183 208 96.2 globlastp WNU8_H136 foxtail_millet|11v3|PHY7SI022037M_P1 539 4183 208 96.2 globlastp WNU8_H137 gossypium_raimondii|12v1|AI730162_P1 540 4180 208 96.2 globlastp WNU8_H138 lotus|09v1|AI967306_P1 541 4184 208 96.2 globlastp WNU8_H139 millet|10v1|EVO454PM016641_P1 542 4185 208 96.2 globlastp WNU8_H140 poppy|11v1|FE964382_P1 543 4186 208 96.2 globlastp WNU8_H141 poppy|11v1|FE965111_P1 544 4186 208 96.2 globlastp WNU8_H142 poppy|11v1|FE965256_P1 545 4186 208 96.2 globlastp WNU8_H143 poppy|11v1|FE965993_P1 546 4186 208 96.2 globlastp WNU8_H144 poppy|11v1|FG606650_P1 547 4186 208 96.2 globlastp WNU8_H145 poppy|11v1|FG610664_P1 548 4186 208 96.2 globlastp WNU8_H146 poppy|11v1|SRR030259.100126_P1 549 4186 208 96.2 globlastp WNU8_H147 poppy|11v1|SRR030259.101544_P1 550 4186 208 96.2 globlastp WNU8_H148 poppy|11v1|SRR030259.102267_P1 551 4186 208 96.2 globlastp WNU8_H149 poppy|11v1|SRR030259.10410_P1 552 4186 208 96.2 globlastp WNU8_H150 poppy|11v1|SRR030259.133939_T1 553 4187 208 96.2 glotblastn WNU8_H151 soybean|11v1|GLYMA05G24110 554 4188 208 96.2 globlastp WNU8_H152 sugarcane|10v1|AF331850 555 4189 208 96.2 globlastp WNU8_H153 sugarcane|10v1|BQ533135 556 4190 208 96.2 globlastp WNU8_H151, WNU8_H408 soybean|12v1|GLYMA05G24110_P1 557 4188 208 96.2 globlastp WNU8_H1008 switchgrass|12v1|DN142583_P1 558 4191 208 96 globlastp WNU8_H154 apple|11v1|CN488523_P1 559 4192 208 96 globlastp WNU8_H155 apple|11v1|CN494505_P1 560 4192 208 96 globlastp WNU8_H156 banana|12v1|BBS3632T3_P1 561 4193 208 96 globlastp WNU8_H157 clementine|11v1|BE205689_P1 562 4194 208 96 globlastp WNU8_H158 clementine|11v1|BQ624489_P1 563 4195 208 96 globlastp WNU8_H159 cotton|11v1|BG445721_P1 564 4196 208 96 globlastp WNU8_H160 cowpea|12v1|FC456829_P1 565 4197 208 96 globlastp WNU8_H161 cowpea|12v1|FC458124_P1 566 4197 208 96 globlastp WNU8_H162 foxtail_millet|11v3|EC612225_P1 567 4198 208 96 globlastp WNU8_H163 foxtail_millet|11v3|GT228217_P1 568 4198 208 96 globlastp WNU8_H164 hornbeam|12v1|SRR364455.103031_P1 569 4199 208 96 globlastp WNU8_H165 kiwi|gb166|GFXAY940092X1_P1 570 4200 208 96 globlastp WNU8_H166 maize|10v1|T18806_P1 571 4201 208 96 globlastp WNU8_H167 melon|10v1|AM729307_P1 572 4202 208 96 globlastp WNU8_H168 oak|10v1|CU639705_P1 573 4203 208 96 globlastp WNU8_H169 oak|10v1|DB996494_P1 574 4203 208 96 globlastp WNU8_H170 rice|11v1|CB620198 575 4204 208 96 glotblastn WNU8_H171 rye|12v1|BE495927 576 4205 208 96 globlastp WNU8_H172 rye|12v1|DRR001012.10049 577 4206 208 96 globlastp WNU8_H173 sorghum|12v1|SB10G023330 578 4207 208 96 globlastp WNU8_H174 sorghum|12v1|SB10G023340 579 4207 208 96 globlastp WNU8_H175 sorghum|12v1|SB10G023350 580 4207 208 96 globlastp WNU8_H176 sorghum|12v1|SB10G023360 581 4207 208 96 globlastp WNU8_H177 tea|10v1|CV699774 582 4208 208 96 globlastp WNU8_H178 tobacco|gb162|BQ842818 583 4209 208 96 globlastp WNU8_H179 trigonella|11v1|SRR066194X155552 584 4210 208 96 globlastp WNU8_H180 poppy|11v1|SRR030259.102988_T1 585 4211 208 95.97 glotblastn WNU8_H181 rye|12v1|DRR001013.13890 586 4212 208 95.97 glotblastn WNU8_H182 cotton|11v1|BE052982_P1 587 4213 208 95.8 globlastp WNU8_H183 pigeonpea|11v1|SRR054580X19235_P1 588 4214 208 95.8 globlastp WNU8_H184 apple|11v1|CK900552_T1 589 4215 208 95.78 glotblastn WNU8_H185 cynodon|10v1|DN985422_T1 590 4216 208 95.75 glotblastn WNU8_H186 poppy|11v1|FE966067_T1 591 4217 208 95.75 glotblastn WNU8_H187 poppy|11v1|SRR030260.100144_T1 592 4218 208 95.75 glotblastn WNU8_H1009 nicotiana_benthamiana|12v1|AY206004_P1 593 4219 208 95.7 globlastp WNU8_H1010 nicotiana_benthamiana|12v1|CN741625_P1 594 4219 208 95.7 globlastp WNU8_H1011 switchgrass|12v1|DN140822_P1 595 4220 208 95.7 globlastp WNU8_H1012 switchgrass|12v1|DN141030_P1 596 4220 208 95.7 globlastp WNU8_H1013 switchgrass|12v1|DN141417_P1 597 4220 208 95.7 globlastp WNU8_H1014 switchgrass|12v1|DN151972_P1 598 4221 208 95.7 globlastp WNU8_H1015 switchgrass|12v1|GR876245_P1 599 4220 208 95.7 globlastp WNU8_H1016 switchgrass|12v1|SRR187773.415907_P1 600 4220 208 95.7 globlastp WNU8_H188 amorphophallus|11v2|SRR089351X101178_P1 601 4222 208 95.7 globlastp WNU8_H189 amorphophallus|11v2|SRR089351X101401_P1 602 4222 208 95.7 globlastp WNU8_H190 aristolochia|10v1|SRR039082S0176545_P1 603 4223 208 95.7 globlastp WNU8_H191 cannabis|12v1|GR220976_P1 604 4224 208 95.7 globlastp WNU8_H192 cotton|11v1|AI054704_P1 605 4225 208 95.7 globlastp WNU8_H193 cynodon|10v1|DN985513_P1 606 4226 208 95.7 globlastp WNU8_H194 eschscholzia|11v1|CD476726_P1 607 4227 208 95.7 globlastp WNU8_H195 eschscholzia|11v1|CD476797_P1 608 4227 208 95.7 globlastp WNU8_H196 eschscholzia|11v1|CD476881_P1 609 4227 208 95.7 globlastp WNU8_H197 eschscholzia|11v1|CD477282_P1 610 4227 208 95.7 globlastp WNU8_H198 eschscholzia|11v1|CD477313_P1 611 4227 208 95.7 globlastp WNU8_H199 eschscholzia|11v1|CD477368_P1 612 4227 208 95.7 globlastp WNU8_H200 eschscholzia|11v1|CD477537_P1 613 4227 208 95.7 globlastp WNU8_H201 eschscholzia|11v1|CD478703_P1 614 4227 208 95.7 globlastp WNU8_H202 euphorbia|11v1|SRR098678X100288_P1 615 4228 208 95.7 globlastp WNU8_H203 euphorbia|11v1|SRR098678X100301_P1 616 4228 208 95.7 globlastp WNU8_H204 euphorbia|11v1|SRR098678X100373_P1 617 4228 208 95.7 globlastp WNU8_H205 maize|10v1|H35894_P1 618 4229 208 95.7 globlastp WNU8_H206 oak|10v1|FN640894_P1 619 4230 208 95.7 globlastp WNU8_H207 oak|10v1|FP043949_P1 620 4230 208 95.7 globlastp WNU8_H208 oak|10v1|SRR006307S0002473_P1 621 4231 208 95.7 globlastp WNU8_H209 onion|12v1|BQ580086_P1 622 4232 208 95.7 globlastp WNU8_H210 poppy|11v1|SRR030259.109187_P1 623 4233 208 95.7 globlastp WNU8_H211 prunus|10v1|BU039267 624 4234 208 95.7 globlastp WNU8_H212 rose|12v1|BQ104256 625 4235 208 95.7 globlastp WNU8_H213 silene|11v1|SRR096785X100438 626 4236 208 95.7 globlastp WNU8_H214 silene|11v1|SRR096785X100589 627 4236 208 95.7 globlastp WNU8_H215 silene|11v1|SRR096785X100710 628 4236 208 95.7 globlastp WNU8_H216 silene|11v1|SRR096785X101356 629 4236 208 95.7 globlastp WNU8_H217 silene|11v1|SRR096785X102548 630 4237 208 95.7 globlastp WNU8_H218 silene|11v1|SRR096785X103692 631 4236 208 95.7 globlastp WNU8_H219 silene|11v1|SRR096785X106318 632 4237 208 95.7 globlastp WNU8_H220 tobacco|gb162|NTU04632 633 4238 208 95.7 globlastp WNU8_H221 trigonella|11v1|SRR066194X116263 634 4239 208 95.7 globlastp WNU8_H1017 chickpea|13v2|GR392683_T1 635 4240 208 95.53 glotblastn WNU8_H1018 chickpea|13v2|SRR133517.155916_T1 636 4241 208 95.53 glotblastn WNU8_H1019 chickpea|13v2|SRR133517.29578_T1 637 4242 208 95.53 glotblastn WNU8_H222 amorphophallus|11v2|SRR089351X143730_T1 638 4243 208 95.53 glotblastn WNU8_H223 amsonia|11v1|SRR098688X1008_T1 639 4244 208 95.53 glotblastn WNU8_H224 cotton|11v1|AI730606_T1 640 4245 208 95.53 glotblastn WNU8_H225 flaveria|11v1|SRR149229.466247_T1 641 4246 208 95.53 glotblastn WNU8_H226 flaveria|11v1|SRR149232.102431_T1 642 4247 208 95.53 glotblastn WNU8_H227 foxtail_millet|11v3|EC613894_T1 643 4248 208 95.53 glotblastn WNU8_H228 foxtail_millet|11v3|SICRP094614_T1 644 4249 208 95.53 glotblastn WNU8_H229 plantago|11v2|SRR066373X133888_T1 645 4250 208 95.53 glotblastn WNU8_H230 poppy|11v1|SRR030259.205881_T1 646 4251 208 95.53 glotblastn WNU8_H231 poppy|11v1|SRR030259.227682_T1 647 4252 208 95.53 glotblastn WNU8_H232 silene|11v1|SRR096785X153635 648 4253 208 95.53 glotblastn WNU8_H1020 bean|12v2|CA898065_P1 649 4254 208 95.5 globlastp WNU8_H1021 nicotiana_benthamiana|12v1|BP744731_P1 650 4255 208 95.5 globlastp WNU8_H1022 nicotiana_benthamiana|12v1|CN655509_P1 651 4256 208 95.5 globlastp WNU8_H1023 prunus_mume|13v1|BU039267_P1 652 4257 208 95.5 globlastp WNU8_H233 aristolochia|10v1|FD750352_P1 653 4258 208 95.5 globlastp WNU8_H235 chelidonium|11v1|SRR084752X100201_P1 654 4259 208 95.5 globlastp WNU8_H236 cotton|11v1|AI725538_P1 655 4260 208 95.5 globlastp WNU8_H237 cotton|11v1|AI726406_P1 656 4260 208 95.5 globlastp WNU8_H238 cotton|11v1|AI726541_P1 657 4260 208 95.5 globlastp WNU8_H239 cotton|11v1|AI730220_P1 658 4260 208 95.5 globlastp WNU8_H240 cotton|11v1|AI730498_P1 659 4260 208 95.5 globlastp WNU8_H241 cotton|11v1|BF274186_P1 660 4260 208 95.5 globlastp WNU8_H242 cotton|11v1|CO117735XX2_P1 661 4260 208 95.5 globlastp WNU8_H243 eggplant|10v1|FS000082_P1 662 4261 208 95.5 globlastp WNU8_H244 eggplant|10v1|FS000440_P1 663 4262 208 95.5 globlastp WNU8_H245 eschscholzia|11v1|CD476486_P1 664 4263 208 95.5 globlastp WNU8_H246 eschscholzia|11v1|CD478453XX2_P1 665 4264 208 95.5 globlastp WNU8_H247 eschscholzia|11v1|CD478458_P1 666 4264 208 95.5 globlastp WNU8_H248 eschscholzia|11v1|CD478468_P1 667 4265 208 95.5 globlastp WNU8_H249 eschscholzia|11v1|CD479080XX2_P1 668 4264 208 95.5 globlastp WNU8_H250 eschscholzia|11v1|SRR014116.110768_P1 669 4266 208 95.5 globlastp WNU8_H251 gossypium_raimondii|12v1|AI725538_P1 670 4260 208 95.5 globlastp WNU8_H252 gossypium_raimondii|12v1|AI726406_P1 671 4260 208 95.5 globlastp WNU8_H253 gossypium_raimondii|12v1|BE052982_P1 672 4267 208 95.5 globlastp WNU8_H254 grape|11v1|GSVIVT01025142001_P1 673 4268 208 95.5 globlastp WNU8_H255 grape|11v1|GSVIVT01025145001_P1 674 4268 208 95.5 globlastp WNU8_H256 momordica|10v1|SRR071315S0002857_P1 675 4269 208 95.5 globlastp WNU8_H257 nasturtium|11v1|GH162035_P1 676 4270 208 95.5 globlastp WNU8_H258 papaya|gb165|EL784286_P1 677 4271 208 95.5 globlastp WNU8_H259 pea|11v1|CD861071_P1 678 4272 208 95.5 globlastp WNU8_H260 pepper|12v1|AF109666_P1 679 4273 208 95.5 globlastp WNU8_H261 poppy|11v1|SRR030259.119594_P1 680 4274 208 95.5 globlastp WNU8_H262 rose|12v1|BQ106130 681 4275 208 95.5 globlastp WNU8_H263 solanum_phureja|09v1|SPHAA076676 682 4276 208 95.5 globlastp WNU8_H264 sorghum|12v1|SB02G036420 683 4277 208 95.5 globlastp WNU8_H265 soybean|11v1|GLYMA10G35700 684 4278 208 95.5 globlastp WNU8_H265 soybean|12v1|GLYMA10G35700_P1 685 4278 208 95.5 globlastp WNU8_H266 vinca|11v1|SRR098690X123396 686 4279 208 95.5 globlastp WNU8_H267 watermelon|11v1|CO997727 687 4280 208 95.5 globlastp WNU8_H1024 castorbean|12v1|EE254323_T1 688 4281 208 95.3 glotblastn WNU8_H1025 switchgrass|12v1|FL815212_P1 689 4282 208 95.3 globlastp WNU8_H268 aquilegia|10v2|DR930217_P1 690 4283 208 95.3 globlastp WNU8_H269 banana|12v1|Z99973_P1 691 4284 208 95.3 globlastp WNU8_H270 beech|11v1|SRR006293.33031_T1 692 4285 208 95.3 glotblastn WNU8_H271 beet|12v1|AW777205_P1 693 4286 208 95.3 globlastp WNU8_H272 beet|12v1|BF011175_P1 694 4286 208 95.3 globlastp WNU8_H273 castorbean|11v1|EE254323 695 4281 208 95.3 glotblastn WNU8_H274 centaurea|11v1|EH726601_P1 696 4287 208 95.3 globlastp WNU8_H275 centaurea|11v1|EH761240_P1 697 4287 208 95.3 globlastp WNU8_H276 chelidonium|11v1|SRR084752X100558_P1 698 4288 208 95.3 globlastp WNU8_H277 chelidonium|11v1|SRR084752X100795_P1 699 4289 208 95.3 globlastp WNU8_H278 chelidonium|11v1|SRR084752X101329_P1 700 4289 208 95.3 globlastp WNU8_H279 cirsium|11v1|SRR346952.1002708_P1 701 4287 208 95.3 globlastp WNU8_H280 cirsium|11v1|SRR349641.103962_P1 702 4287 208 95.3 globlastp WNU8_H281 cleome_gynandra|10v1|SRR015532S0001474_P1 703 4290 208 95.3 globlastp WNU8_H282 cleome_gynandra|10v1|SRR015532S0004204_P1 704 4290 208 95.3 globlastp WNU8_H283 cleome_spinosa|10v1|GR932583_P1 705 4291 208 95.3 globlastp WNU8_H284 cleome_spinosa|10v1|SRR015531S0002895_P1 706 4292 208 95.3 globlastp WNU8_H285 cotton|11v1|BF274217XX1_P1 707 4293 208 95.3 globlastp WNU8_H286 cotton|11v1|CO100824_P1 708 4293 208 95.3 globlastp WNU8_H287 cotton|11v1|DT053387_P1 709 4294 208 95.3 globlastp WNU8_H288 cotton|11v1|DT569172_P1 710 4293 208 95.3 globlastp WNU8_H289 eucalyptus|11v2|AW191358_P1 711 4295 208 95.3 globlastp WNU8_H290 euonymus|11v1|SRR070038X101364_P1 712 4296 208 95.3 globlastp WNU8_H291 euonymus|11v1|SRR070038X115963_P1 713 4296 208 95.3 globlastp WNU8_H292 euonymus|11v1|SRR070038X259150_P1 714 4297 208 95.3 globlastp WNU8_H293 flaveria|11v1|SRR149229.100675_P1 715 4298 208 95.3 globlastp WNU8_H294 flaveria|11v1|SRR149229.138103_P1 716 4298 208 95.3 globlastp WNU8_H295 flaveria|11v1|SRR149229.426038_P1 717 4299 208 95.3 globlastp WNU8_H296 flaveria|11v1|SRR149229.452538_P1 718 4299 208 95.3 globlastp WNU8_H297 flaveria|11v1|SRR149229.452727_P1 719 4298 208 95.3 globlastp WNU8_H298 flaveria|11v1|SRR149232.105959_P1 720 4298 208 95.3 globlastp WNU8_H299 flaveria|11v1|SRR149232.119639_P1 721 4298 208 95.3 globlastp WNU8_H300 flaveria|11v1|SRR149232.239369XX2_P1 722 4298 208 95.3 globlastp WNU8_H301 flaveria|11v1|SRR149232.253318_P1 723 4298 208 95.3 globlastp WNU8_H302 flaveria|11v1|SRR149232.316595_P1 724 4299 208 95.3 globlastp WNU8_H303 flaveria|11v1|SRR149232.356601_P1 725 4298 208 95.3 globlastp WNU8_H304 flaveria|11v1|SRR149232.382252_P1 726 4298 208 95.3 globlastp WNU8_H305 flaveria|11v1|SRR149232.85827_P1 727 4298 208 95.3 globlastp WNU8_H306 flaveria|11v1|SRR149240.222217_P1 728 4298 208 95.3 globlastp WNU8_H307 gerbera|09v1|AJ750107_P1 729 4300 208 95.3 globlastp WNU8_H308 gossypium_raimondii|12v1|AI055114_P1 730 4293 208 95.3 globlastp WNU8_H309 hornbeam|12v1|SRR364455.101164_P1 731 4301 208 95.3 globlastp WNU8_H310 hornbeam|12v1|SRR364455.101583_P1 732 4301 208 95.3 globlastp WNU8_H311 hornbeam|12v1|SRR364455.101709_P1 733 4301 208 95.3 globlastp WNU8_H312 medicago|12v1|AW256757_P1 734 4302 208 95.3 globlastp WNU8_H313 medicago|12v1|BF650996_P1 735 4303 208 95.3 globlastp WNU8_H314 pigeonpea|11v1|GR466613_T1 736 4304 208 95.3 glotblastn WNU8_H315 plantago|11v2|SRR066373X100182_P1 737 4305 208 95.3 globlastp WNU8_H316 plantago|11v2|SRR066373X101749_P1 738 4305 208 95.3 globlastp WNU8_H317 platanus|11v1|SRR096786X106302_P1 739 4306 208 95.3 globlastp WNU8_H318 poppy|11v1|FE965841_P1 740 4307 208 95.3 globlastp WNU8_H319 poppy|11v1|FE968602_P1 741 4308 208 95.3 globlastp WNU8_H320 poppy|11v1|FG612840_T1 742 4309 208 95.3 glotblastn WNU8_H321 poppy|11v1|SRR030259.111052_P1 743 4310 208 95.3 globlastp WNU8_H322 poppy|11v1|SRR030267.75877_P1 744 4308 208 95.3 globlastp WNU8_H323 rye|12v1|BF429367 745 4311 208 95.3 globlastp WNU8_H324 rye|12v1|DRR001012.101877 746 4312 208 95.3 glotblastn WNU8_H325 silene|11v1|DV768325 747 4313 208 95.3 globlastp WNU8_H326 silene|11v1|SRR096785X101252 748 4314 208 95.3 globlastp WNU8_H327 solanum_phureja|09v1|SPHAI773886 749 4315 208 95.3 globlastp WNU8_H328 soybean|11v1|GLYMA05G11630 750 4316 208 95.3 globlastp WNU8_H328 soybean|12v1|GLYMA05G11630T2_P1 751 4316 208 95.3 globlastp WNU8_H329 soybean|11v1|GLYMA17G23900 752 4317 208 95.3 globlastp WNU8_H330 sugarcane|10v1|CA110141 753 4318 208 95.3 globlastp WNU8_H331 tomato|11v1|NTU04632 754 4319 208 95.3 globlastp WNU8_H332 wheat|12v3|HX143170 755 4320 208 95.3 globlastp WNU8_H329, WNU8_H711 soybean|12v1|GLYMA17G23900_P1 756 4317 208 95.3 globlastp WNU8_H1026 castorbean|12v1|EG658125_P1 757 4321 208 95.1 globlastp WNU8_H1027 poplar|13v1|AI161969_P1 758 4322 208 95.1 globlastp WNU8_H1028 switchgrass|12v1|FE605464_P1 759 4323 208 95.1 globlastp WNU8_H333 amborella|12v3|FD428667_P1 760 4324 208 95.1 globlastp WNU8_H334 apple|11v1|CN862600_P1 761 4325 208 95.1 globlastp WNU8_H335 apple|11v1|MDU80268_P1 762 4326 208 95.1 globlastp WNU8_H336 artemisia|10v1|EY102338_P1 763 4327 208 95.1 globlastp WNU8_H337 banana|12v1|DQ057979_P1 764 4328 208 95.1 globlastp WNU8_H338 banana|12v1|ES431512_P1 765 4329 208 95.1 globlastp WNU8_H339 banana|12v1|FF561778_P1 766 4330 208 95.1 globlastp WNU8_H340 beech|11v1|SRR006293.11634_P1 767 4331 208 95.1 globlastp WNU8_H341 beech|11v1|SRR006293.11715_P1 768 4332 208 95.1 globlastp WNU8_H342 beech|11v1|SRR006293.26950_P1 769 4333 208 95.1 globlastp WNU8_H343 beet|12v1|BF011125_P1 770 4334 208 95.1 globlastp WNU8_H344 blueberry|12v1|CF811324_P1 771 4335 208 95.1 globlastp WNU8_H345 blueberry|12v1|DR068176_P1 772 4336 208 95.1 globlastp WNU8_H346 blueberry|12v1|SRR353282X11412D1_P1 773 4337 208 95.1 globlastp WNU8_H347 cacao|10v1|CU471873_P1 774 4338 208 95.1 globlastp WNU8_H348 cannabis|12v1|GR220640_P1 775 4339 208 95.1 globlastp WNU8_H349 castorbean|11v1|EG658125 776 4321 208 95.1 globlastp WNU8_H350 cirsium|11v1|SRR346952.124276_P1 777 4340 208 95.1 globlastp WNU8_H351 cotton|11v1|AI055181_P1 778 4341 208 95.1 globlastp WNU8_H352 cotton|11v1|AI730775_P1 779 4342 208 95.1 globlastp WNU8_H353 cotton|11v1|BQ407515_P1 780 4343 208 95.1 globlastp WNU8_H354 cotton|11v1|CO074038_P1 781 4343 208 95.1 globlastp WNU8_H355 eucalyptus|11v2|CB968056_P1 782 4344 208 95.1 globlastp WNU8_H356 eucalyptus|11v2|CD668816_P1 783 4345 208 95.1 globlastp WNU8_H357 eucalyptus|11v2|CD669665_P1 784 4346 208 95.1 globlastp WNU8_H358 flaveria|11v1|SRR149229.104017_P1 785 4347 208 95.1 globlastp WNU8_H359 flaveria|11v1|SRR149229.124433_P1 786 4347 208 95.1 globlastp WNU8_H360 flaveria|11v1|SRR149229.444305_P1 787 4348 208 95.1 globlastp WNU8_H361 flaveria|11v1|SRR149229.93595_P1 788 4347 208 95.1 globlastp WNU8_H362 flaveria|11v1|SRR149232.15044_P1 789 4349 208 95.1 globlastp WNU8_H363 gossypium_raimondii|12v1|AI055181_P1 790 4341 208 95.1 globlastp WNU8_H364 gossypium_raimondii|12v1|AI730775_P1 791 4350 208 95.1 globlastp WNU8_H365 grape|11v1|GSVIVT01016317001_P1 792 4351 208 95.1 globlastp WNU8_H366 humulus|11v1|ES652342_P1 793 4352 208 95.1 globlastp WNU8_H367 lettuce|12v1|DW043995_P1 794 4353 208 95.1 globlastp WNU8_H368 lotus|09v1|CN825649_P1 795 4354 208 95.1 globlastp WNU8_H369 momordica|10v1|SRR071315S0016076_P1 796 4355 208 95.1 globlastp WNU8_H370 phyla|11v2|SRR099035X100072_P1 797 4356 208 95.1 globlastp WNU8_H371 phyla|11v2|SRR099035X101326_P1 798 4356 208 95.1 globlastp WNU8_H372 phyla|11v2|SRR099035X101336_P1 799 4356 208 95.1 globlastp WNU8_H373 phyla|11v2|SRR099035X103026_P1 800 4356 208 95.1 globlastp WNU8_H374 pigeonpea|11v1|SRR054580X118863_P1 801 4357 208 95.1 globlastp WNU8_H375 podocarpus|10v1|SRR065014S0015649_P1 802 4358 208 95.1 globlastp WNU8_H376 poppy|11v1|FE965023_P1 803 4359 208 95.1 globlastp WNU8_H377 poppy|11v1|FE966271_P1 804 4360 208 95.1 globlastp WNU8_H378 poppy|11v1|SRR030259.131651_P1 805 4360 208 95.1 globlastp WNU8_H379 poppy|11v1|SRR030259.204870_P1 806 4360 208 95.1 globlastp WNU8_H380 poppy|11v1|SRR030259.371307_P1 807 4359 208 95.1 globlastp WNU8_H381 poppy|11v1|SRR030265.228007_P1 808 4361 208 95.1 globlastp WNU8_H382 poppy|11v1|SRR030266.80491_P1 809 4361 208 95.1 globlastp WNU8_H383 poppy|11v1|SRR033669.106346_P1 810 4362 208 95.1 globlastp WNU8_H384 poppy|11v1|SRR096789.100989_P1 811 4361 208 95.1 globlastp WNU8_H385 poppy|11v1|SRR096789.114426_P1 812 4361 208 95.1 globlastp WNU8_H386 primula|11v1|SRR098679X10087_P1 813 4363 208 95.1 globlastp WNU8_H387 pteridium|11v1|SRR043594X102662 814 4364 208 95.1 globlastp WNU8_H388 solanum_phureja|09v1|SPHAI781348 815 4365 208 95.1 globlastp WNU8_H389 solanum_phureja|09v1|SPHAJ302119 816 4365 208 95.1 globlastp WNU8_H390 solanum_phureja|09v1|SPHBG123241 817 4365 208 95.1 globlastp WNU8_H391 strawberry|11v1|CO378450 818 4366 208 95.1 globlastp WNU8_H392 tomato|11v1|AF108894 819 4367 208 95.1 globlastp WNU8_H393 tomato|11v1|BG123241 820 4367 208 95.1 globlastp WNU8_H394 trigonella|11v1|SRR066194X107491 821 4368 208 95.1 globlastp WNU8_H395 tripterygium|11v1|SRR098677X100595 822 4369 208 95.1 globlastp WNU8_H396 tripterygium|11v1|SRR098677X100891 823 4369 208 95.1 globlastp WNU8_H397 tripterygium|11v1|SRR098677X101036 824 4369 208 95.1 globlastp WNU8_H398 tripterygium|11v1|SRR098677X12791XX1 825 4369 208 95.1 globlastp WNU8_H399 utricularia|11v1|SRR094438.100179 826 4370 208 95.1 globlastp WNU8_H400 apple|11v1|CX022900_T1 827 4371 208 95.08 glotblastn WNU8_H401 cannabis|12v1|GR220972_T1 828 4372 208 95.08 glotblastn WNU8_H402 cotton|11v1|BQ416159_T1 829 4373 208 95.08 glotblastn WNU8_H403 eschscholzia|11v1|CD476470_T1 830 4374 208 95.08 glotblastn WNU8_H404 flaveria|11v1|SRR149232.101720_T1 831 4375 208 95.08 glotblastn WNU8_H405 grape|11v1|CB001916_T1 832 4376 208 95.08 glotblastn WNU8_H406 poppy|11v1|SRR096789.135633_T1 833 4377 208 95.08 glotblastn WNU8_H407 sorghum|12v1|CD204773 834 4378 208 95.08 glotblastn WNU8_H408 soybean|11v1|CF806389 835 4379 208 95.08 glotblastn WNU8_H409 wheat|12v3|AW448510 836 4380 208 95.08 glotblastn WNU8_H1029 prunus_mume|13v1|BU039165_P1 837 4381 208 94.9 globlastp WNU8_H410 amorphophallus|11v2|SRR089351X10266_P1 838 4382 208 94.9 globlastp WNU8_H411 amorphophallus|11v2|SRR089351X105525XX1_P1 839 4382 208 94.9 globlastp WNU8_H412 amorphophallus|11v2|SRR089351X128278_P1 840 4382 208 94.9 globlastp WNU8_H413 amsonia|11v1|SRR098688X100175_P1 841 4383 208 94.9 globlastp WNU8_H414 aquilegia|10v2|DR935423_P1 842 4384 208 94.9 globlastp WNU8_H415 aquilegia|10v2|DT744770_P1 843 4385 208 94.9 globlastp WNU8_H416 banana|12v1|FF560532_P1 844 4386 208 94.9 globlastp WNU8_H417 basilicum|10v1|DY321893_P1 845 4387 208 94.9 globlastp WNU8_H418 blueberry|12v1|DR067017_P1 846 4388 208 94.9 globlastp WNU8_H419 blueberry|12v1|SRR353282X100165D1_P1 847 4389 208 94.9 globlastp WNU8_H420 blueberry|12v1|SRR353282X100928D1_P1 848 4390 208 94.9 globlastp WNU8_H421 cacao|10v1|CA797400_P1 849 4391 208 94.9 globlastp WNU8_H422 cacao|10v1|CF972784_P1 850 4392 208 94.9 globlastp WNU8_H423 cedrus|11v1|SRR065007X100666_P1 851 4393 208 94.9 globlastp WNU8_H424 cirsium|11v1|SRR346952.1004975_P1 852 4394 208 94.9 globlastp WNU8_H425 cirsium|11v1|SRR346952.1052090_P1 853 4394 208 94.9 globlastp WNU8_H426 clementine|11v1|BE205741_P1 854 4395 208 94.9 globlastp WNU8_H427 cleome_gynandra|10v1|SRR015532S0001773_P1 855 4396 208 94.9 globlastp WNU8_H428 cleome_spinosa|10v1|GR933669_P1 856 4397 208 94.9 globlastp WNU8_H429 cleome_spinosa|10v1|SRR015531S0001111_P1 857 4398 208 94.9 globlastp WNU8_H430 coffea|10v1|DV663574_P1 858 4399 208 94.9 globlastp WNU8_H431 cotton|11v1|CO071370_P1 859 4400 208 94.9 globlastp WNU8_H432 cotton|11v1|DT048133_P1 860 4401 208 94.9 globlastp WNU8_H433 dandelion|10v1|DR399309_P1 861 4402 208 94.9 globlastp WNU8_H434 eschscholzia|11v1|CD476398_P1 862 4403 208 94.9 globlastp WNU8_H435 eucalyptus|11v2|CB967966_P1 863 4404 208 94.9 globlastp WNU8_H436 euphorbia|11v1|AW862637_P1 864 4405 208 94.9 globlastp WNU8_H437 grape|11v1|GSVIVT01025638001_P1 865 4406 208 94.9 globlastp WNU8_H438 humulus|11v1|FG346869_P1 866 4407 208 94.9 globlastp WNU8_H439 humulus|11v1|GD245567_P1 867 4408 208 94.9 globlastp WNU8_H440 maize|10v1|BG320525_P1 868 4409 208 94.9 globlastp WNU8_H441 oil_palm|11v1|EL682924_P1 869 4410 208 94.9 globlastp WNU8_H442 oil_palm|11v1|EL930607_P1 870 4411 208 94.9 globlastp WNU8_H443 oil_palm|11v1|ES323752_P1 871 4411 208 94.9 globlastp WNU8_H444 orange|11v1|BE205741_P1 872 4412 208 94.9 globlastp WNU8_H445 orobanche|10v1|SRR023189S0000079_P1 873 4413 208 94.9 globlastp WNU8_H446 orobanche|10v1|SRR023189S0001178_P1 874 4414 208 94.9 globlastp WNU8_H447 parthenium|10v1|GW776061_P1 875 4415 208 94.9 globlastp WNU8_H448 pepper|12v1|AF108894_P1 876 4416 208 94.9 globlastp WNU8_H449 pepper|12v1|BM061844_P1 877 4416 208 94.9 globlastp WNU8_H450 phalaenopsis|11v1|CB033270XX1_P1 878 4417 208 94.9 globlastp WNU8_H451 phalaenopsis|11v1|CK858530_P1 879 4418 208 94.9 globlastp WNU8_H452 platanus|11v1|AM286248_P1 880 4419 208 94.9 globlastp WNU8_H453 platanus|11v1|SRR096786X101171_P1 881 4419 208 94.9 globlastp WNU8_H454 poppy|11v1|SRR030259.124479_P1 882 4420 208 94.9 globlastp WNU8_H455 prunus|10v1|BU039165 883 4381 208 94.9 globlastp WNU8_H456 rye|12v1|DRR001012.156956 884 4421 208 94.9 globlastp WNU8_H457 spruce|11v1|ES245248 885 4422 208 94.9 globlastp WNU8_H458 spruce|11v1|ES250415 886 4422 208 94.9 globlastp WNU8_H459 spruce|11v1|EX345407 887 4422 208 94.9 globlastp WNU8_H460 strawberry|11v1|CO381963 888 4423 208 94.9 globlastp WNU8_H461 sunflower|12v1|AJ318256 889 4424 208 94.9 globlastp WNU8_H462 sunflower|12v1|AY094064 890 4424 208 94.9 globlastp WNU8_H463 sunflower|12v1|BU671873 891 4424 208 94.9 globlastp WNU8_H464 sunflower|12v1|BU671985 892 4424 208 94.9 globlastp WNU8_H465 sunflower|12v1|CD851234 893 4424 208 94.9 globlastp WNU8_H466 sunflower|12v1|DY909098 894 4424 208 94.9 globlastp WNU8_H467 sunflower|12v1|DY915476 895 4424 208 94.9 globlastp WNU8_H468 tabernaemontana|11v1|SRR098689X101208 896 4425 208 94.9 globlastp WNU8_H469 tabernaemontana|11v1|SRR098689X106153XX1 897 4426 208 94.9 globlastp WNU8_H470 tomato|11v1|R28725 898 4427 208 94.9 globlastp WNU8_H471 tragopogon|10v1|SRR020205S0002006 899 4428 208 94.9 globlastp WNU8_H472 trigonella|11v1|SRR066194X10242 900 4429 208 94.9 globlastp WNU8_H501 poplar|13v1|AI164807_P1 901 4430 208 94.9 globlastp WNU8_H473 eucalyptus|11v2|CU400103_T1 902 4431 208 94.88 glotblastn WNU8_H474 medicago|12v1|BF639628_T1 903 4432 208 94.87 glotblastn WNU8_H1030 monkeyflower|12v1|DV205853_T1 904 4433 208 94.85 glotblastn WNU8_H475 avocado|10v1|CO996848_T1 905 4434 208 94.85 glotblastn WNU8_H476 beet|12v1|AW697790_T1 906 4435 208 94.85 glotblastn WNU8_H477 cannabis|12v1|GR222004_T1 907 4436 208 94.85 glotblastn WNU8_H478 eschscholzia|11v1|SRR014116.105105_T1 908 4437 208 94.85 glotblastn WNU8_H479 flaveria|11v1|SRR149229.114917_T1 909 4438 208 94.85 glotblastn WNU8_H480 gossypium_raimondii|12v1|AI726186_T1 910 4439 208 94.85 glotblastn WNU8_H481 maize|10v1|CD441766_T1 911 4440 208 94.85 glotblastn WNU8_H482 rye|12v1|DRR001012.347328 912 4441 208 94.85 glotblastn WNU8_H1031 castorbean|12v1|EE256050_P1 913 4442 208 94.7 globlastp WNU8_H1032 castorbean|12v1|EG656787_P1 914 4442 208 94.7 globlastp WNU8_H1033 olea|13v1|GFXAM946404X1_P1 915 4443 208 94.7 globlastp WNU8_H1034 olea|13v1|SRR014463X20349D1_P1 916 4444 208 94.7 globlastp WNU8_H1035 poplar|13v1|AI166447_P1 917 4445 208 94.7 globlastp WNU8_H483 ambrosia|11v1|SRR346943.126871_P1 918 4446 208 94.7 globlastp WNU8_H484 arabidopsis_lyrata|09v1|JGIAL000754_P1 919 4447 208 94.7 globlastp WNU8_H485 arabidopsis_lyrata|09v1|JGIAL030663_P1 920 4447 208 94.7 globlastp WNU8_H486 arabidopsis|10v1|AT1G07901_P1 921 4447 208 94.7 globlastp WNU8_H487 arabidopsis|10v1|AT1G07930_P1 922 4447 208 94.7 globlastp WNU8_H488 arabidopsis|10v1|AT1G07940_P1 923 4447 208 94.7 globlastp WNU8_H489 arabidopsis|10v1|AT5G60390_P1 924 4447 208 94.7 globlastp WNU8_H490 cacao|10v1|CA794319_P1 925 4448 208 94.7 globlastp WNU8_H492 castorbean|11v1|EG656787 926 4442 208 94.7 globlastp WNU8_H493 cirsium|11v1|SRR346952.102421_P1 927 4449 208 94.7 globlastp WNU8_H494 cleome_spinosa|10v1|SRR015531S0002488_P1 928 4450 208 94.7 globlastp WNU8_H495 coffea|10v1|CF588804_P1 929 4451 208 94.7 globlastp WNU8_H496 cotton|11v1|AW187614_P1 930 4452 208 94.7 globlastp WNU8_H497 cotton|11v1|BQ414984_P1 931 4452 208 94.7 globlastp WNU8_H498 cucumber|09v1|CSCRP008322_P1 932 4453 208 94.7 globlastp WNU8_H499 fraxinus|11v1|SRR058827.100679_P1 933 4454 208 94.7 globlastp WNU8_H500 olea|11v1|SRR014463.10146 934 4455 208 94.7 globlastp WNU8_H501 poplar|10v1|AI161969 935 4456 208 94.7 globlastp WNU8_H502 sunflower|12v1|BU028740 936 4457 208 94.7 globlastp WNU8_H503 sunflower|12v1|DY946305 937 4458 208 94.7 globlastp WNU8_H504 thellungiella_halophilum|11v1|BM986048 938 4459 208 94.7 globlastp WNU8_H505 thellungiella_halophilum|11v1|DN773185 939 4459 208 94.7 globlastp WNU8_H506 thellungiella_halophilum|11v1|DN773401 940 4459 208 94.7 globlastp WNU8_H507 thellungiella_halophilum|11v1|DN773796 941 4459 208 94.7 globlastp WNU8_H508 triphysaria|10v1|BE574839 942 4460 208 94.7 globlastp WNU8_H509 triphysaria|10v1|BM357290 943 4460 208 94.7 globlastp WNU8_H510 valeriana|11v1|SRR099039X149703 944 4461 208 94.7 globlastp WNU8_H511 foxtail_millet|11v3|SICRP094659_T1 945 4462 208 94.69 glotblastn WNU8_H512 ambrosia|11v1|SRR346935.127621_T1 946 4463 208 94.63 glotblastn WNU8_H513 castorbean|11v1|EG661854 947 4464 208 94.63 glotblastn WNU8_H514 grape|11v1|CB288374_T1 948 4465 208 94.63 glotblastn WNU8_H515 poppy|11v1|SRR030259.267771_T1 949 4466 208 94.63 glotblastn WNU8_H516 sorghum|12v1|SB12V1CRP038294 950 4467 208 94.63 glotblastn WNU8_H517 valeriana|11v1|SRR099039X100036 951 4468 208 94.63 glotblastn WNU8_H518 wheat|12v3|AL820214 952 4469 208 94.63 glotblastn WNU8_H1036 prunus_mume|13v1|AJ533915_P1 953 4470 208 94.6 globlastp WNU8_H519 abies|11v2|SRR098676X101737_P1 954 4471 208 94.6 globlastp WNU8_H520 amorphophallus|11v2|SRR089351X106775_P1 955 4472 208 94.6 globlastp WNU8_H521 apple|11v1|CN860744_P1 956 4473 208 94.6 globlastp WNU8_H522 artemisia|10v1|EY037542_P1 957 4474 208 94.6 globlastp WNU8_H523 euonymus|11v1|SRR070038X100853_P1 958 4475 208 94.6 globlastp WNU8_H524 euonymus|11v1|SRR070038X11282_P1 959 4476 208 94.6 globlastp WNU8_H525 euphorbia|11v1|AW862626_P1 960 4477 208 94.6 globlastp WNU8_H526 flax|11v1|CA482954_P1 961 4478 208 94.6 globlastp WNU8_H527 flax|11v1|CV478249_P1 962 4478 208 94.6 globlastp WNU8_H528 ipomoea_batatas|10v1|CB330042_P1 963 4479 208 94.6 globlastp WNU8_H529 ipomoea_nil|10v1|BJ553094_P1 964 4480 208 94.6 globlastp WNU8_H530 lolium|10v1|AU245749_P1 965 4481 208 94.6 globlastp WNU8_H531 lolium|10v1|DT669536_P1 966 4482 208 94.6 globlastp WNU8_H532 millet|10v1|EVO454PM009336_P1 967 4483 208 94.6 globlastp WNU8_H533 oil_palm|11v1|EL608609_P1 968 4484 208 94.6 globlastp WNU8_H534 oil_palm|11v1|EL681356XX1_P1 969 4485 208 94.6 globlastp WNU8_H535 phalaenopsis|11v1|SRR125771.1013977_P1 970 4486 208 94.6 globlastp WNU8_H536 poplar|10v1|AI161649 971 4487 208 94.6 globlastp WNU8_H537 pseudotsuga|10v1|SRR065119S0000257 972 4488 208 94.6 globlastp WNU8_H538 spikemoss|gb165|DN839525 973 4489 208 94.6 globlastp WNU8_H539 trigonella|11v1|SRR066194X137675 974 4490 208 94.6 globlastp WNU8_H540 trigonella|11v1|SRR066194X154517 975 4490 208 94.6 globlastp WNU8_H541 tripterygium|11v1|SRR098677X101761 976 4491 208 94.6 globlastp WNU8_H536 poplar|13v1|AI161506_T1 977 4492 208 94.41 glotblastn WNU8_H542 b_juncea|12v1|E6ANDIZ01A0NBV_T1 978 4493 208 94.41 glotblastn WNU8_H543 canola|11v1|SRR329671.156242_T1 979 4494 208 94.41 glotblastn WNU8_H544 cichorium|gb171|AY378166_T1 980 4495 208 94.41 glotblastn WNU8_H545 lotus|09v1|BP070850_T1 981 4496 208 94.41 glotblastn WNU8_H546 oil_palm|11v1|EB643526_T1 982 4497 208 94.41 glotblastn WNU8_H547 primula|11v1|SRR098679X113006_T1 983 4498 208 94.41 glotblastn WNU8_H548 scabiosa|11v1|SRR063723X103333 984 4499 208 94.41 glotblastn WNU8_H549 sugarcane|10v1|AF281361 985 4500 208 94.41 glotblastn WNU8_H550 tomato|11v1|AI773886 986 4501 208 94.41 glotblastn WNU8_H1037 bean|12v2|SRR001336.212815_P1 987 4502 208 94.4 globlastp WNU8_H1038 monkeyflower|12v1|DV207107_P1 988 4503 208 94.4 globlastp WNU8_H1039 monkeyflower|12v1|DV207353_P1 989 4503 208 94.4 globlastp WNU8_H1040 monkeyflower|12v1|DV208772_P1 990 4503 208 94.4 globlastp WNU8_H551 abies|11v2|SRR098676X100568_P1 991 4504 208 94.4 globlastp WNU8_H552 amborella|12v3|CK749009_P1 992 4505 208 94.4 globlastp WNU8_H554 cacao|10v1|CA795371_P1 993 4506 208 94.4 globlastp WNU8_H555 cannabis|12v1|SOLX00017332_P1 994 4507 208 94.4 globlastp WNU8_H556 catharanthus|11v1|EG554695_P1 995 4508 208 94.4 globlastp WNU8_H557 catharanthus|11v1|EG555941_P1 996 4508 208 94.4 globlastp WNU8_H558 catharanthus|11v1|EG557697_P1 997 4508 208 94.4 globlastp WNU8_H559 cedrus|11v1|SRR065007X100199_P1 998 4509 208 94.4 globlastp WNU8_H560 cedrus|11v1|SRR065007X10026_P1 999 4509 208 94.4 globlastp WNU8_H561 cotton|11v1|BF268921_P1 1000 4510 208 94.4 globlastp WNU8_H562 cotton|11v1|BF269646_P1 1001 4510 208 94.4 globlastp WNU8_H563 euonymus|11v1|SRR070038X100282_P1 1002 4511 208 94.4 globlastp WNU8_H564 euonymus|11v1|SRR070038X10269_P1 1003 4511 208 94.4 globlastp WNU8_H565 euonymus|11v1|SRR070038X103854_P1 1004 4511 208 94.4 globlastp WNU8_H566 euonymus|11v1|SRR070038X104549_P1 1005 4511 208 94.4 globlastp WNU8_H567 euonymus|11v1|SRR070038X106777_P1 1006 4511 208 94.4 globlastp WNU8_H568 euonymus|11v1|SRR070038X111303_P1 1007 4511 208 94.4 globlastp WNU8_H569 euonymus|11v1|SRR070038X115972_P1 1008 4511 208 94.4 globlastp WNU8_H570 euphorbia|11v1|AW862613_P1 1009 4512 208 94.4 globlastp WNU8_H571 euphorbia|11v1|SRR098678X102266_P1 1010 4513 208 94.4 globlastp WNU8_H572 fraxinus|11v1|SRR058827.102102_P1 1011 4514 208 94.4 globlastp WNU8_H573 fraxinus|11v1|SRR058827.108997_P1 1012 4515 208 94.4 globlastp WNU8_H574 gnetum|10v1|CB082379_P1 1013 4516 208 94.4 globlastp WNU8_H575 hevea|10v1|EC601487_P1 1014 4517 208 94.4 globlastp WNU8_H576 lettuce|12v1|CV700260_P1 1015 4518 208 94.4 globlastp WNU8_H577 maritime_pine|10v1|AL749939_P1 1016 4519 208 94.4 globlastp WNU8_H578 melon|10v1|DV631424_P1 1017 4520 208 94.4 globlastp WNU8_H579 monkeyflower|10v1|DV205853 1018 4503 208 94.4 globlastp WNU8_H580 monkeyflower|10v1|DV207107 1019 4503 208 94.4 globlastp WNU8_H581 nasturtium|11v1|GH163859_P1 1020 4521 208 94.4 globlastp WNU8_H582 oat|11v1|GO582886_P1 1021 4522 208 94.4 globlastp WNU8_H583 pepper|12v1|BM063862_P1 1022 4523 208 94.4 globlastp WNU8_H584 phalaenopsis|11v1|SRR125771.1001018_P1 1023 4524 208 94.4 globlastp WNU8_H585 pine|10v2|H75081_P1 1024 4525 208 94.4 globlastp WNU8_H586 podocarpus|10v1|SRR065014S0002906_P1 1025 4526 208 94.4 globlastp WNU8_H587 prunus|10v1|AJ533915 1026 4527 208 94.4 globlastp WNU8_H588 pseudotsuga|10v1|GFXAY832557X1 1027 4528 208 94.4 globlastp WNU8_H589 pteridium|11v1|SRR043594X102541 1028 4529 208 94.4 globlastp WNU8_H590 pteridium|11v1|SRR043594X104777 1029 4530 208 94.4 globlastp WNU8_H591 salvia|10v1|FJ858191 1030 4531 208 94.4 globlastp WNU8_H592 sequoia|10v1|SRR065044S0007394 1031 4532 208 94.4 globlastp WNU8_H593 spikemoss|gb165|FE440656 1032 4533 208 94.4 globlastp WNU8_H594 spruce|11v1|ES875403 1033 4534 208 94.4 globlastp WNU8_H595 tabernaemontana|11v1|SRR098689X100678 1034 4535 208 94.4 globlastp WNU8_H596 trigonella|11v1|SRR066194X74267 1035 4536 208 94.4 globlastp WNU8_H597 tripterygium|11v1|SRR098677X107031 1036 4537 208 94.4 globlastp WNU8_H598 valeriana|11v1|SRR099039X100438 1037 4538 208 94.4 globlastp WNU8_H599 watermelon|11v1|AB029104 1038 4539 208 94.4 globlastp WNU8_H600 watermelon|11v1|CK700722 1039 4539 208 94.4 globlastp WNU8_H601 amorphophallus|11v2|SRR089351X100293_T1 1040 4540 208 94.22 glotblastn WNU8_H602 rye|12v1|DRR001013.151108 1041 4541 208 94.21 glotblastn WNU8_H1041 chickpea|13v2|GR915502_P1 1042 4542 208 94.2 globlastp WNU8_H1042 chickpea|13v2|SRR133517.111803_P1 1043 4542 208 94.2 globlastp WNU8_H1043 olea|13v1|SRR014463X11728D1_P1 1044 4543 208 94.2 globlastp WNU8_H1044 prunus_mume|13v1|BU045587_P1 1045 4544 208 94.2 globlastp WNU8_H1045 prunus_mume|13v1|SRR345679.95461_P1 1046 4545 208 94.2 globlastp WNU8_H603 amborella|12v3|CO997427_P1 1047 4546 208 94.2 globlastp WNU8_H604 amorphophallus|11v2|SRR089351X10941_P1 1048 4547 208 94.2 globlastp WNU8_H605 arnica|11v1|SRR099034X100032_P1 1049 4548 208 94.2 globlastp WNU8_H606 arnica|11v1|SRR099034X100335_P1 1050 4549 208 94.2 globlastp WNU8_H607 arnica|11v1|SRR099034X103888_P1 1051 4550 208 94.2 globlastp WNU8_H608 arnica|11v1|SRR099034X116643_P1 1052 4550 208 94.2 globlastp WNU8_H609 catharanthus|11v1|EG554541_P1 1053 4551 208 94.2 globlastp WNU8_H610 chickpea|11v1|GR915502 1054 4552 208 94.2 glotblastn WNU8_H611 euonymus|11v1|SRR070038X43550_P1 1055 4553 208 94.2 globlastp WNU8_H612 lettuce|12v1|DW046184_P1 1056 4554 208 94.2 globlastp WNU8_H613 medicago|12v1|AW684157_P1 1057 4555 208 94.2 globlastp WNU8_H614 olea|11v1|SRR014463.10556 1058 4556 208 94.2 globlastp WNU8_H615 phalaenopsis|11v1|CK857786_P1 1059 4557 208 94.2 globlastp WNU8_H616 poppy|11v1|SRR096789.104983_P1 1060 4558 208 94.2 globlastp WNU8_H617 primula|11v1|SRR098679X101131_P1 1061 4559 208 94.2 globlastp WNU8_H618 prunus|10v1|BU045587 1062 4560 208 94.2 globlastp WNU8_H619 rose|12v1|BQ106350 1063 4561 208 94.2 globlastp WNU8_H620 rose|12v1|SRR397984.101837 1064 4562 208 94.2 globlastp WNU8_H621 scabiosa|11v1|SRR063723X101062 1065 4563 208 94.2 globlastp WNU8_H622 strawberry|11v1|CO382086 1066 4564 208 94.2 globlastp WNU8_H623 sunflower|12v1|EL418188 1067 4565 208 94.2 globlastp WNU8_H624 thalictrum|11v1|SRR096787X100511 1068 4566 208 94.2 globlastp WNU8_H625 triphysaria|10v1|BM356801 1069 4567 208 94.2 globlastp WNU8_H626 triphysaria|10v1|DR174744 1070 4568 208 94.2 globlastp WNU8_H627 valeriana|11v1|SRR099039X115328 1071 4569 208 94.2 globlastp WNU8_H628 vinca|11v1|SRR098690X100355 1072 4570 208 94.2 globlastp WNU8_H629 vinca|11v1|SRR098690X100729 1073 4571 208 94.2 globlastp WNU8_H630 watermelon|11v1|BTM17968633162350 1074 4572 208 94.2 globlastp WNU8_H500, WNU8_H614 olea|13v1|SRR014463X10146D1_P1 1075 4556 208 94.2 globlastp WNU8_H610, WNU8_H997 chickpea|13v2|SRR133517.120898_P1 1076 4542 208 94.2 globlastp WNU8_H1046 switchgrass|12v1|FL854656_T1 1077 4573 208 94.18 glotblastn WNU8_H631 ambrosia|11v1|SRR346935.194619_T1 1078 4574 208 94.18 glotblastn WNU8_H632 b_juncea|12v1|E6ANDIZ01A09HC_T1 1079 4575 208 94.18 glotblastn WNU8_H633 b_juncea|12v1|E6ANDIZ01BA83M_T1 1080 4576 208 94.18 glotblastn WNU8_H634 beech|11v1|SRR006293.20105_T1 1081 4577 208 94.18 glotblastn WNU8_H635 castorbean|11v1|RCPRD029589 1082 4578 208 94.18 glotblastn WNU8_H636 gossypium_raimondii|12v1|GR12V1PRD009747_T1 1083 4579 208 94.18 glotblastn WNU8_H637 phalaenopsis|11v1|CB032056_T1 1084 4580 208 94.18 glotblastn WNU8_H638 poppy|11v1|SRR030267.285961_T1 1085 4581 208 94.18 glotblastn WNU8_H639 gossypium_raimondii|12v1|SRR032367.1025615_T1 1086 4582 208 94.01 glotblastn WNU8_H640 ambrosia|11v1|SRR346943.100746_P1 1087 4583 208 94 globlastp WNU8_H641 aquilegia|10v2|DR920295_P1 1088 4584 208 94 globlastp WNU8_H642 arnica|11v1|SRR099034X100789_P1 1089 4585 208 94 globlastp WNU8_H643 b_juncea|12v1|E6ANDIZ01A00QZ_P1 1090 4586 208 94 globlastp WNU8_H644 b_juncea|12v1|E6ANDIZ01A04RE_P1 1091 4586 208 94 globlastp WNU8_H645 b_juncea|12v1|E6ANDIZ01A05I7_P1 1092 4587 208 94 globlastp WNU8_H646 b_juncea|12v1|E6ANDIZ01A0DRC_P1 1093 4586 208 94 globlastp WNU8_H647 b_juncea|12v1|E6ANDIZ01A1Q2C_P1 1094 4586 208 94 globlastp WNU8_H648 b_juncea|12v1|E6ANDIZ01A1T4L_P1 1095 4586 208 94 globlastp WNU8_H649 b_juncea|12v1|E6ANDIZ01A2YFN_P1 1096 4586 208 94 globlastp WNU8_H650 b_juncea|12v1|E6ANDIZ01A3XGA_P1 1097 4586 208 94 globlastp WNU8_H651 b_juncea|12v1|E6ANDIZ01A4TRW1_P1 1098 4586 208 94 globlastp WNU8_H652 b_juncea|12v1|E6ANDIZ01A4TV2_P1 1099 4586 208 94 globlastp WNU8_H653 b_juncea|12v1|E6ANDIZ01A6O5I_P1 1100 4586 208 94 globlastp WNU8_H654 b_juncea|12v1|E6ANDIZ01A71DP_P1 1101 4586 208 94 globlastp WNU8_H655 b_juncea|12v1|E6ANDIZ01A7UYD_P1 1102 4586 208 94 globlastp WNU8_H656 b_juncea|12v1|E6ANDIZ01A8EX1_P1 1103 4586 208 94 globlastp WNU8_H657 b_juncea|12v1|E6ANDIZ01A98K5_P1 1104 4586 208 94 globlastp WNU8_H658 b_juncea|12v1|E6ANDIZ01AESP5_P1 1105 4586 208 94 globlastp WNU8_H659 b_juncea|12v1|E6ANDIZ01AO6V5_P1 1106 4586 208 94 globlastp WNU8_H660 b_juncea|12v1|E6ANDIZ01AR2C5_P1 1107 4586 208 94 globlastp WNU8_H661 b_rapa|11v1|BG543067_P1 1108 4586 208 94 globlastp WNU8_H662 b_rapa|11v1|BG543807_P1 1109 4586 208 94 globlastp WNU8_H663 b_rapa|11v1|BNU21744_P1 1110 4586 208 94 globlastp WNU8_H664 b_rapa|11v1|BQ791801_P1 1111 4586 208 94 globlastp WNU8_H665 b_rapa|11v1|CD813870_P1 1112 4586 208 94 globlastp WNU8_H666 b_rapa|11v1|L38205_P1 1113 4586 208 94 globlastp WNU8_H667 canola|11v1|AI352739_P1 1114 4586 208 94 globlastp WNU8_H668 canola|11v1|CB331912_P1 1115 4586 208 94 globlastp WNU8_H669 canola|11v1|CN726590_P1 1116 4586 208 94 globlastp WNU8_H670 canola|11v1|CN729818_P1 1117 4586 208 94 globlastp WNU8_H671 canola|11v1|CN729909_P1 1118 4586 208 94 globlastp WNU8_H672 canola|11v1|CN730343_P1 1119 4586 208 94 globlastp WNU8_H673 canola|11v1|CN730658_P1 1120 4586 208 94 globlastp WNU8_H674 canola|11v1|CN730882_P1 1121 4586 208 94 globlastp WNU8_H675 canola|11v1|CN735190_P1 1122 4586 208 94 globlastp WNU8_H676 canola|11v1|CN735423_P1 1123 4586 208 94 globlastp WNU8_H677 canola|11v1|CN826026XX1_P1 1124 4586 208 94 globlastp WNU8_H678 canola|11v1|CN826539_P1 1125 4586 208 94 globlastp WNU8_H679 canola|11v1|CN827011_P1 1126 4586 208 94 globlastp WNU8_H680 canola|11v1|CN827537_P1 1127 4586 208 94 globlastp WNU8_H681 canola|11v1|CN828604_P1 1128 4586 208 94 globlastp WNU8_H682 canola|11v1|DY001542_P1 1129 4586 208 94 globlastp WNU8_H683 canola|11v1|DY002283_P1 1130 4586 208 94 globlastp WNU8_H684 canola|11v1|DY010813_P1 1131 4586 208 94 globlastp WNU8_H685 canola|11v1|EE476856_P1 1132 4586 208 94 globlastp WNU8_H686 canola|11v1|EE551290_P1 1133 4586 208 94 globlastp WNU8_H687 canola|11v1|EG020415_P1 1134 4586 208 94 globlastp WNU8_H688 canola|11v1|SRR019557.37092_P1 1135 4586 208 94 globlastp WNU8_H689 distylium|11v1|SRR065077X100439_P1 1136 4588 208 94 globlastp WNU8_H690 epimedium|11v1|SRR013502.10405_P1 1137 4589 208 94 globlastp WNU8_H691 euonymus|11v1|SRR070038X101785_P1 1138 4590 208 94 globlastp WNU8_H692 euonymus|11v1|SRR070038X103768_P1 1139 4591 208 94 globlastp WNU8_H693 marchantia|gb166|BJ841010_P1 1140 4592 208 94 globlastp WNU8_H694 nasturtium|11v1|SRR032558.348984_P1 1141 4593 208 94 globlastp WNU8_H695 oat|11v1|CN816326_P1 1142 4594 208 94 globlastp WNU8_H696 oat|11v1|GO584378_P1 1143 4595 208 94 globlastp WNU8_H697 oat|11v1|GO586922_P1 1144 4594 208 94 globlastp WNU8_H698 oat|11v1|GR313243_P1 1145 4594 208 94 globlastp WNU8_H699 oat|11v1|GR313302_P1 1146 4595 208 94 globlastp WNU8_H700 oat|11v1|GR313710_P1 1147 4594 208 94 globlastp WNU8_H701 poplar|10v1|AI166447 1148 4596 208 94 globlastp WNU8_H702 sequoia|10v1|SRR065044S0000261 1149 4597 208 94 globlastp WNU8_H703 taxus|10v1|SRR032523S0007597 1150 4598 208 94 globlastp WNU8_H723 poplar|13v1|AI162399_P1 1151 4599 208 94 globlastp WNU8_H724 poplar|13v1|AI165649_P1 1152 4600 208 94 globlastp WNU8_H704 prunus|10v1|CN917657 1153 4601 208 93.99 glotblastn WNU8_H1047 chickpea|13v2|SRR133517.120108_T1 1154 4602 208 93.97 glotblastn WNU8_H705 castorbean|11v1|RCPRD007088 1155 4603 208 93.97 glotblastn WNU8_H706 b_juncea|12v1|E6ANDIZ01AESGE_T1 1156 4604 208 93.96 glotblastn WNU8_H707 banana|12v1|FL657364_T1 1157 4605 208 93.96 glotblastn WNU8_H708 fraxinus|11v1|SRR058827.102633XX1_T1 1158 4606 208 93.96 glotblastn WNU8_H709 maize|10v1|FL097864_T1 1159 4607 208 93.96 glotblastn WNU8_H710 soybean|11v1|BE474039 1160 4608 208 93.96 glotblastn WNU8_H711 soybean|11v1|BG839367 1161 4609 208 93.96 glotblastn WNU8_H712 taxus|10v1|SRR065067S0001016 1162 4610 208 93.96 glotblastn WNU8_H713 castorbean|11v1|SRR020784.101496 1163 4611 208 93.81 glotblastn WNU8_H1048 monkeyflower|12v1|CV521399_P1 1164 4612 208 93.8 globlastp WNU8_H1049 olea|13v1|SRR592583X197957D1_P1 1165 4613 208 93.8 globlastp WNU8_H714 b_juncea|12v1|E6ANDIZ01A3EP6_P1 1166 4614 208 93.8 globlastp WNU8_H715 b_juncea|12v1|E6ANDIZ01AQ7GF_P1 1167 4615 208 93.8 globlastp WNU8_H716 b_rapa|11v1|BG544735_P1 1168 4616 208 93.8 globlastp WNU8_H717 lettuce|12v1|BQ981354_P1 1169 4617 208 93.8 globlastp WNU8_H718 medicago|12v1|CX524501_P1 1170 4618 208 93.8 globlastp WNU8_H719 monkeyflower|10v1|CV521399 1171 4612 208 93.8 globlastp WNU8_H720 pine|10v2|AW010032_P1 1172 4619 208 93.8 globlastp WNU8_H721 pine|10v2|AW010442_P1 1173 4619 208 93.8 globlastp WNU8_H722 plantago|11v2|SRR066373X111879_P1 1174 4620 208 93.8 globlastp WNU8_H723 poplar|10v1|AI162399 1175 4621 208 93.8 globlastp WNU8_H724 poplar|10v1|AI165649 1176 4622 208 93.8 globlastp WNU8_H725 poplar|10v1|BI069666 1177 4623 208 93.8 globlastp WNU8_H725 poplar|13v1|BI069666_P1 1178 4623 208 93.8 globlastp WNU8_H726 sunflower|12v1|DY934396 1179 4624 208 93.8 globlastp WNU8_H727 trigonella|11v1|SRR066194X124381 1180 4625 208 93.8 globlastp WNU8_H728 ambrosia|11v1|SRR346935.275617_T1 1181 4626 208 93.76 glotblastn WNU8_H729 b_juncea|12v1|E6ANDIZ01A3Y8Q_T1 1182 4627 208 93.74 glotblastn WNU8_H730 oil_palm|11v1|EL684389XX2_T1 1183 4628 208 93.74 glotblastn WNU8_H731 poppy|11v1|SRR030259.134858_T1 1184 4629 208 93.74 glotblastn WNU8_H732 vinca|11v1|SRR098690X101781 1185 4630 208 93.74 glotblastn WNU8_H1050 chickpea|13v2|SRR133517.233336_P1 1186 4631 208 93.7 globlastp WNU8_H1051 zostera|12v1|SRR057351X102271D1_P1 1187 4632 208 93.7 globlastp WNU8_H733 cephalotaxus|11v1|SRR064395X100427_P1 1188 4633 208 93.7 globlastp WNU8_H734 euonymus|11v1|SRR070038X176037_P1 1189 4634 208 93.7 globlastp WNU8_H735 gnetum|10v1|SRR064399S0001449_P1 1190 4635 208 93.7 globlastp WNU8_H736 oil_palm|11v1|ES414440XX1_P1 1191 4636 208 93.7 globlastp WNU8_H737 sciadopitys|10v1|SRR065035S0000206 1192 4637 208 93.7 globlastp WNU8_H738 spruce|11v1|SRR064180X11301 1193 4638 208 93.7 globlastp WNU8_H739 tripterygium|11v1|SRR098677X101200 1194 4639 208 93.7 globlastp WNU8_H740 zostera|10v1|AM766058 1195 4632 208 93.7 globlastp WNU8_H741 eucalyptus|11v2|CU397481_T1 1196 4640 208 93.54 glotblastn WNU8_H742 thellungiella_halophilum|11v1|DN776912 1197 4641 208 93.54 glotblastn WNU8_H743 aquilegia|10v2|CRPAC006620_T1 1198 4642 208 93.51 glotblastn WNU8_H744 b_rapa|11v1|AM395184_T1 1199 4643 208 93.51 glotblastn WNU8_H745 b_rapa|11v1|CX190853_T1 1200 4644 208 93.51 glotblastn WNU8_H746 b_rapa|11v1|L37459_T1 1201 4645 208 93.51 glotblastn WNU8_H747 cacao|10v1|CRPTC024018_T1 1202 4646 208 93.51 glotblastn WNU8_H748 ceratodon|10v1|SRR074890S0073885_T1 1203 4647 208 93.51 glotblastn WNU8_H749 oat|11v1|CN818507_T1 1204 4648 208 93.51 glotblastn WNU8_H750 primula|11v1|SRR098679X221186_T1 1205 4649 208 93.51 glotblastn WNU8_H751 primula|11v1|SRR098682X115682_T1 1206 4650 208 93.51 glotblastn WNU8_H752 tomato|11v1|BI919315 1207 4651 208 93.51 glotblastn WNU8_H1052 olea|13v1|SRR014463X22600D1_P1 1208 4652 208 93.5 globlastp WNU8_H753 ceratodon|10v1|SRR074890S0003758_P1 1209 4653 208 93.5 globlastp WNU8_H754 ceratodon|10v1|SRR074890S0004771_P1 1210 4653 208 93.5 globlastp WNU8_H755 ceratodon|10v1|SRR074890S0005849_P1 1211 4653 208 93.5 globlastp WNU8_H756 ceratodon|10v1|SRR074890S0006087_P1 1212 4653 208 93.5 globlastp WNU8_H757 ceratodon|10v1|SRR074890S0018183_P1 1213 4653 208 93.5 globlastp WNU8_H758 ceratodon|10v1|SRR074890S0020766_P1 1214 4653 208 93.5 globlastp WNU8_H759 ceratodon|10v1|SRR074890S0027994_P1 1215 4653 208 93.5 globlastp WNU8_H760 ceratodon|10v1|SRR074890S0031249_P1 1216 4653 208 93.5 globlastp WNU8_H761 ceratodon|10v1|SRR074890S0033316_P1 1217 4653 208 93.5 globlastp WNU8_H762 ceratodon|10v1|SRR074890S0046096_P1 1218 4653 208 93.5 globlastp WNU8_H763 ceratodon|10v1|SRR074890S0048907_P1 1219 4653 208 93.5 globlastp WNU8_H764 ceratodon|10v1|SRR074890S0386187_P1 1220 4653 208 93.5 globlastp WNU8_H765 ceratodon|10v1|SRR074890S0537086_P1 1221 4653 208 93.5 globlastp WNU8_H766 ceratodon|10v1|SRR074890S0648778_P1 1222 4653 208 93.5 globlastp WNU8_H767 ceratodon|10v1|SRR074890S0653196_P1 1223 4653 208 93.5 globlastp WNU8_H768 ceratodon|10v1|SRR074890S0680883_P1 1224 4653 208 93.5 globlastp WNU8_H769 ceratodon|10v1|SRR074890S1275775_P1 1225 4653 208 93.5 globlastp WNU8_H770 ceratodon|10v1|SRR074890S1284354_P1 1226 4653 208 93.5 globlastp WNU8_H771 ceratodon|10v1|SRR074890S1349436_P1 1227 4653 208 93.5 globlastp WNU8_H772 ceratodon|10v1|SRR074890S1778058_P1 1228 4653 208 93.5 globlastp WNU8_H773 ceratodon|10v1|SRR074891S0984886_P1 1229 4653 208 93.5 globlastp WNU8_H774 cucumber|09v1|CSCRP010330_P1 1230 4654 208 93.5 globlastp WNU8_H775 eucalyptus|11v2|CT981337_P1 1231 4655 208 93.5 globlastp WNU8_H776 fraxinus|11v1|SRR058827.10011_P1 1232 4656 208 93.5 globlastp WNU8_H777 marchantia|gb166|C96106_P1 1233 4657 208 93.5 globlastp WNU8_H778 medicago|12v1|AW329865_P1 1234 4658 208 93.5 globlastp WNU8_H779 oil_palm|11v1|SRR190698.104132_P1 1235 4659 208 93.5 globlastp WNU8_H780 olea|11v1|SRR014463.17060 1236 4660 208 93.5 globlastp WNU8_H780 olea|13v1|SRR014463X17060D1_P1 1237 4661 208 93.5 globlastp WNU8_H781 poplar|10v1|AI164318 1238 4662 208 93.5 globlastp WNU8_H781 poplar|13v1|AI164318_P1 1239 4663 208 93.5 globlastp WNU8_H782 primula|11v1|SRR098679X104033_P1 1240 4664 208 93.5 globlastp WNU8_H783 spruce|11v1|ES253909 1241 4665 208 93.5 globlastp WNU8_H784 thalictrum|11v1|SRR096787X102731 1242 4666 208 93.5 globlastp WNU8_H785 poppy|11v1|SRR030259.121454_P1 1243 4667 208 93.4 globlastp WNU8_H786 eucalyptus|11v2|EGPRD011768_T1 1244 4668 208 93.32 glotblastn WNU8_H787 grape|11v1|EC980496_T1 1245 4669 208 93.32 glotblastn WNU8_H788 amsonia|11v1|SRR098688X100519_P1 1246 4670 208 93.3 globlastp WNU8_H789 ceratodon|10v1|SRR074890S0009629_P1 1247 4671 208 93.3 globlastp WNU8_H790 maritime_pine|10v1|BX249171_P1 1248 4672 208 93.3 globlastp WNU8_H791 peanut|10v1|CD038687_P1 1249 4673 208 93.3 globlastp WNU8_H792 physcomitrella|10v1|BJ164066_P1 1250 4674 208 93.3 globlastp WNU8_H793 taxus|10v1|SRR032523S0039453 1251 4675 208 93.3 globlastp WNU8_H794 tripterygium|11v1|SRR098677X103442 1252 4676 208 93.3 globlastp WNU8_H795 watermelon|11v1|VMEL00073838482395 1253 4677 208 93.3 globlastp WNU8_H1053 prunus_mume|13v1|AM289924_T1 1254 4678 208 93.29 glotblastn WNU8_H796 cacao|10v1|CU507521_T1 1255 4679 208 93.29 glotblastn WNU8_H797 ceratodon|10v1|SRR074890S0001781_T1 1256 4680 208 93.29 glotblastn WNU8_H798 ceratodon|10v1|SRR074890S0007932_T1 1257 4681 208 93.29 glotblastn WNU8_H799 ceratodon|10v1|SRR074890S0020356_T1 1258 4682 208 93.29 glotblastn WNU8_H800 euphorbia|11v1|SRR098678X103383_T1 1259 4683 208 93.29 glotblastn WNU8_H801 fraxinus|11v1|SRR058827.105286_T1 1260 4684 208 93.29 glotblastn WNU8_H802 oat|11v1|GO581582_T1 1261 4685 208 93.29 glotblastn WNU8_H803 ambrosia|11v1|SRR346949.167891_T1 1262 4686 208 93.1 glotblastn WNU8_H804 b_rapa|11v1|L47954_P1 1263 4687 208 93.1 globlastp WNU8_H805 bruguiera|gb166|AB073629_P1 1264 4688 208 93.1 globlastp WNU8_H806 distylium|11v1|SRR065077X104496_P1 1265 4689 208 93.1 globlastp WNU8_H807 millet|10v1|EVO454PM002208_P1 1266 4690 208 93.1 globlastp WNU8_H808 sciadopitys|10v1|SRR065035S0001689 1267 4691 208 93.1 globlastp WNU8_H809 spikemoss|gb165|FE427444 1268 4692 208 93.1 globlastp WNU8_H810 ambrosia|11v1|GW917875_T1 1269 4693 208 93.06 glotblastn WNU8_H811 ambrosia|11v1|SRR346935.107782_T1 1270 4694 208 93.06 glotblastn WNU8_H812 canola|11v1|SRR329670.105751_T1 1271 4695 208 93.06 glotblastn WNU8_H813 ceratodon|10v1|SRR074890S0034678_T1 1272 4696 208 93.06 glotblastn WNU8_H814 ceratodon|10v1|SRR074890S0476895_T1 1273 4697 208 93.06 glotblastn WNU8_H815 poppy|11v1|SRR030259.112775_T1 1274 4698 208 93.06 glotblastn WNU8_H816 bean|12v1|PVPRD017895 1275 4699 208 92.9 glotblastn WNU8_H817 canola|11v1|DY006918_P1 1276 4700 208 92.9 globlastp WNU8_H818 flaveria|11v1|SRR149232.106901_P1 1277 4701 208 92.9 globlastp WNU8_H819 b_rapa|11v1|CX271716_T1 1278 4702 208 92.89 glotblastn WNU8_H820 flaveria|11v1|SRR149229.10363_T1 1279 4703 208 92.86 glotblastn WNU8_H821 ceratodon|10v1|SRR074890S0009329_T1 1280 4704 208 92.84 glotblastn WNU8_H822 ceratodon|10v1|SRR074890S0071772_T1 1281 4705 208 92.84 glotblastn WNU8_H823 fraxinus|11v1|SRR058827.105562_T1 1282 4706 208 92.84 glotblastn WNU8_H824 oil_palm|11v1|ES273650_P1 1283 4707 208 92.8 globlastp WNU8_H825 physcomitrella|10v1|AW126661_P1 1284 4708 208 92.8 globlastp WNU8_H826 physcomitrella|10v1|AW145494_P1 1285 4708 208 92.8 globlastp WNU8_H827 physcomitrella|10v1|AW509897_P1 1286 4708 208 92.8 globlastp WNU8_H828 physcomitrella|10v1|AW738891_P1 1287 4709 208 92.8 globlastp WNU8_H829 ceratodon|10v1|SRR074890S0609797_P1 1288 4710 208 92.7 globlastp WNU8_H830 millet|10v1|CD725988_P1 1289 4711 208 92.7 globlastp WNU8_H831 pseudotsuga|10v1|GFXAY832556X1 1290 4712 208 92.7 glotblastn WNU8_H1054 chickpea|13v2|SRR133517.249466_T1 1291 4713 208 92.68 glotblastn WNU8_H832 ceratodon|10v1|SRR074890S0005119_T1 1292 4714 208 92.62 glotblastn WNU8_H833 cucurbita|11v1|SRR091276X121433_T1 1293 4715 208 92.62 glotblastn WNU8_H834 fraxinus|11v1|SRR058827.10879_T1 1294 4716 208 92.62 glotblastn WNU8_H835 phalaenopsis|11v1|CB031989_T1 1295 4717 208 92.62 glotblastn WNU8_H836 poppy|11v1|SRR030263.430570_T1 1296 4718 208 92.62 glotblastn WNU8_H837 physcomitrella|10v1|AJ225418_P1 1297 4719 208 92.6 globlastp WNU8_H838 physcomitrella|10v1|AW145551_P1 1298 4719 208 92.6 globlastp WNU8_H839 physcomitrella|10v1|BJ160016_P1 1299 4720 208 92.6 globlastp WNU8_H840 physcomitrella|10v1|BJ186660_P1 1300 4721 208 92.6 globlastp WNU8_H841 canola|11v1|DY005831_P1 1301 4722 208 92.4 globlastp WNU8_H842 canola|11v1|EE420703_T1 1302 4723 208 92.39 glotblastn WNU8_H843 ceratodon|10v1|SRR074890S0004170_T1 1303 4724 208 92.39 glotblastn WNU8_H844 cotton|11v1|CO132300_T1 1304 4725 208 92.39 glotblastn WNU8_H845 phalaenopsis|11v1|SRR125771.1377153_P1 1305 4726 208 92.3 globlastp WNU8_H846 ambrosia|11v1|SRR346935.202314_P1 1306 4727 208 92.2 globlastp WNU8_H847 centaurea|11v1|EH788025_P1 1307 4728 208 92.2 globlastp WNU8_H848 cucumber|09v1|AB029104_P1 1308 4729 208 92.2 globlastp WNU8_H849 flaveria|11v1|SRR149229.294193XX2_P1 1309 4730 208 92.2 globlastp WNU8_H850 ceratodon|10v1|SRR074890S0327696_P1 1310 4731 208 92 globlastp WNU8_H851 ceratodon|10v1|SRR074890S0008588_T1 1311 4732 208 91.96 glotblastn WNU8_H852 ambrosia|11v1|SRR346935.24735_T1 1312 4733 208 91.95 glotblastn WNU8_H853 eschscholzia|11v1|CD478773_T1 1313 4734 208 91.72 glotblastn WNU8_H854 ambrosia|11v1|SRR346935.100197_P1 1314 4735 208 91.7 globlastp WNU8_H855 trigonella|11v1|SRR066194X118591 1315 4736 208 91.7 globlastp WNU8_H856 ceratodon|10v1|SRR074890S0010775_T1 1316 4737 208 91.52 glotblastn WNU8_H857 poppy|11v1|SRR030261.55346_P1 1317 4738 208 91.5 globlastp WNU8_H858 ceratodon|10v1|SRR074890S0104947_P1 1318 4739 208 91.3 globlastp WNU8_H859 wheat|12v3|BF201530 1319 4740 208 91.3 globlastp WNU8_H860 ambrosia|11v1|SRR346935.365378_T1 1320 4741 208 91.28 glotblastn WNU8_H861 gossypium_raimondii|12v1|BG445555_T1 1321 4742 208 91.28 glotblastn WNU8_H862 oak|10v1|DB998061_T1 1322 4743 208 91.28 glotblastn WNU8_H863 sunflower|12v1|CF094003 1323 4744 208 91.28 glotblastn WNU8_H864 flaveria|11v1|SRR149229.180096_P1 1324 4745 208 91.1 globlastp WNU8_H865 pteridium|11v1|GW575201 1325 4746 208 91.1 globlastp WNU8_H866 rye|12v1|DRR001012.135089 1326 4747 208 91.1 globlastp WNU8_H867 utricularia|11v1|SRR094438.100291 1327 4748 208 90.9 globlastp WNU8_H868 canola|11v1|EE540074_T1 1328 4749 208 90.83 glotblastn WNU8_H869 ambrosia|11v1|SRR346935.122905_T1 1329 4750 208 90.6 glotblastn WNU8_H870 rye|12v1|DRR001012.115547 1330 4751 208 90.6 globlastp WNU8_H871 ambrosia|11v1|SRR346943.132429_P1 1331 4752 208 90.4 globlastp WNU8_H872 oak|10v1|CU657890_P1 1332 4753 208 90.4 globlastp WNU8_H873 artemisia|10v1|SRR019254S0035817_T1 1333 4754 208 90.38 glotblastn WNU8_H874 gossypium_raimondii|12v1|FE896850_T1 1334 4755 208 90.38 glotblastn WNU8_H875 ambrosia|11v1|SRR346935.118240_P1 1335 4756 208 90.3 globlastp WNU8_H876 medicago|12v1|CB892601_P1 1336 4757 208 90.3 globlastp WNU8_H877 amorphophallus|11v2|SRR089351X12124_T1 1337 4758 208 90.27 glotblastn WNU8_H878 oat|11v1|GO586059_P1 1338 4759 208 90.2 globlastp WNU8_H879 fraxinus|11v1|SRR058827.106715_T1 1339 4760 208 90.18 glotblastn WNU8_H880 aquilegia|10v2|DR926759_P1 1340 4761 208 89.9 globlastp WNU8_H881 b_rapa|11v1|EE534476_T1 1341 4762 208 89.71 glotblastn WNU8_H882 strawberry|11v1|SRR034859S0001435 1342 4763 208 89.71 glotblastn WNU8_H883 millet|10v1|EVO454PM023538_P1 1343 4764 208 89.7 globlastp WNU8_H1055 chickpea|13v2|SRR133517.18034_T1 1344 4765 208 89.65 glotblastn WNU8_H884 flaveria|11v1|SRR149229.2566_P1 1345 4766 208 89.5 globlastp WNU8_H885 millet|10v1|CD724605_T1 1346 4767 208 89.49 glotblastn WNU8_H886 b_juncea|12v1|E6ANDIZ01ANL2J_P1 1347 4768 208 89.4 globlastp WNU8_H887 rye|12v1|BE586334 1348 4769 208 89.3 globlastp WNU8_H888 rye|12v1|DRR001012.109643 1349 4769 208 89.3 globlastp WNU8_H889 millet|10v1|EVO454PM261173_T1 1350 4770 208 89.04 glotblastn WNU8_H890 canola|11v1|CN730466_P1 1351 4771 208 88.9 globlastp WNU8_H891 curcuma|10v1|DY383453_T1 1352 4772 208 88.81 glotblastn WNU8_H892 rye|12v1|DRR001012.420786 1353 4773 208 88.81 glotblastn WNU8_H893 tobacco|gb162|AF120093 1354 4774 208 88.7 globlastp WNU8_H894 canola|11v1|DY001946_P1 1355 4775 208 88.3 globlastp WNU8_H895 rye|12v1|BE494657 1356 4776 208 88.2 globlastp WNU8_H896 solanum_phureja|09v1|SPHR28725 1357 4777 208 88.17 glotblastn WNU8_H897 cotton|11v1|BG447263_P1 1358 4778 208 88.1 globlastp WNU8_H898 ceratodon|10v1|SSRR074890S0038570_T1 1359 4779 208 87.97 glotblastn WNU8_H899 pine|10v2|AA556685_T1 1360 4780 208 87.92 glotblastn WNU8_H900 pine|10v2|CD020050_T1 1361 4780 208 87.92 glotblastn WNU8_H901 rye|12v1|DRR001012.248566 1362 4781 208 87.9 globlastp WNU8_H902 oak|10v1|DB998952_P1 1363 4782 208 87.7 globlastp WNU8_H903 wheat|12v3|BI751305 1364 4783 208 87.69 glotblastn WNU8_H904 wheat|12v3|BE407061 1365 4784 208 87 globlastp WNU8_H905 poppy|11v1|SRR030265.155045_T1 1366 4785 208 86.67 glotblastn WNU8_H906 canola|11v1|SRR019559.16344_T1 1367 4786 208 86.58 glotblastn WNU8_H907 arabidopsis_lyrata|09v1|JGIAL000755_P1 1368 4787 208 86.5 globlastp WNU8_H908 flaveria|11v1|SRR149232.37699_T1 1369 4788 208 86.41 glotblastn WNU8_H909 fraxinus|11v1|SRR058827.109980_P1 1370 4789 208 86.4 globlastp WNU8_H910 canola|11v1|SRR001111.56668_T1 1371 4790 208 86.35 glotblastn WNU8_H911 wheat|12v3|BE418902 1372 4791 208 86.3 globlastp WNU8_H912 ceratodon|10v1|SSRR074890S0013208_T1 1373 4792 208 86.13 glotblastn WNU8_H913 foxtail_millet|11v3|SIPRD012298_T1 1374 4793 208 86.12 glotblastn WNU8_H914 b_juncea|12v1|E6ANDIZ01A0SLK_P1 1375 4794 208 86.1 globlastp WNU8_H915 cotton|11v1|ES813128_P1 1376 4795 208 86.1 globlastp WNU8_H916 millet|10v1|EVO454PM014933_P1 1377 4796 208 86.1 globlastp WNU8_H917 wheat|12v3|BE500164 1378 4797 208 86.1 globlastp WNU8_H918 maize|10v1|BT016906_T1 1379 4798 208 86 glotblastn WNU8_H919 millet|10v1|EVO454PM094844_P1 1380 4799 208 85.9 globlastp WNU8_H920 poppy|11v1|SRR096789.106870_P1 1381 4800 208 85.9 globlastp WNU8_H921 eschscholzia|11v1|CD479225_P1 1382 4801 208 85.7 globlastp WNU8_H922 rye|12v1|BE705268 1383 4802 208 85.7 globlastp WNU8_H923 trigonella|11v1|SRR066195X227497 1384 4803 208 85.7 globlastp WNU8_H924 oak|10v1|CU639938_P1 1385 4804 208 85.5 globlastp WNU8_H1056 nicotiana_benthamiana|12v1|AF154660_T1 1386 4805 208 85.34 glotblastn WNU8_H1057 switchgrass|12v1|FE599218_P1 1387 4806 208 85.2 globlastp WNU8_H925 eschscholzia|11v1|CD479412_P1 1388 4807 208 85.2 globlastp WNU8_H926 oak|10v1|FP029259_P1 1389 4808 208 85.2 globlastp WNU8_H927 rye|12v1|DRR001013.218454 1390 4809 208 85.01 glotblastn WNU8_H928 cotton|11v1|BE054260_P1 1391 4810 208 85 globlastp WNU8_H929 eschscholzia|11v1|CV000181_P1 1392 4811 208 85 globlastp WNU8_H930 foxtail_millet|11v3|PHY7SI030042M_P1 1393 4812 208 85 globlastp WNU8_H931 flaveria|11v1|SRR149232.101059_P1 1394 4813 208 84.9 globlastp WNU8_H932 flaveria|11v1|SRR149232.113793_P1 1395 4814 208 84.9 globlastp WNU8_H933 banana|12v1|HQ853243_T1 1396 4815 208 84.86 glotblastn WNU8_H934 amorphophallus|11v2|SRR089351X102337_P1 1397 4816 208 84.8 globlastp WNU8_H935 flaveria|11v1|SRR149229.124813_P1 1398 4817 208 84.8 globlastp WNU8_H936 millet|10v1|EVO454PM040965_P1 1399 4818 208 84.8 globlastp WNU8_H937 poppy|11v1|SRR096789.103347_P1 1400 4819 208 84.8 globlastp WNU8_H938 thalictrum|11v1|SRR096787X100429 1401 4820 208 84.79 glotblastn WNU8_H939 ambrosia|11v1|GR935679_P1 1402 4821 208 84.6 globlastp WNU8_H940 ambrosia|11v1|SRR346943.103270_P1 1403 4821 208 84.6 globlastp WNU8_H941 pineapple|10v1|DT336013_P1 1404 4822 208 84.6 globlastp WNU8_H942 poppy|11v1|SRR096789.101574_P1 1405 4823 208 84.6 globlastp WNU8_H943 trigonella|11v1|SRR066194X102555 1406 4824 208 84.6 globlastp WNU8_H944 salvia|10v1|CV162295 1407 4825 208 84.4 globlastp WNU8_H945 flaveria|11v1|SRR149229.176629_T1 1408 4826 208 84.34 glotblastn WNU8_H946 sunflower|12v1|CD848771 1409 4827 208 84.2 globlastp WNU8_H947 eschscholzia|11v1|CD478050_T1 1410 4828 208 84.12 glotblastn WNU8_H948 primula|11v1|SRR098679X101476_T1 1411 4829 208 84.07 glotblastn WNU8_H1058 switchgrass|12v1|DN142142_P1 1412 4830 208 83.9 globlastp WNU8_H949 ambrosia|11v1|SRR346935.258794_P1 1413 4831 208 83.9 globlastp WNU8_H950 b_juncea|12v1|E6ANDIZ01A06P6_T1 1414 4832 208 83.89 glotblastn WNU8_H951 millet|10v1|EB410919_P1 1415 4833 208 83.7 globlastp WNU8_H952 poppy|11v1|SRR030259.104199_P1 1416 4834 208 83.7 globlastp WNU8_H953 rye|12v1|DRR001012.472868 1417 4835 208 83.7 globlastp WNU8_H954 tobacco|gb162|EB442628 1418 4836 208 83.7 globlastp WNU8_H955 ambrosia|11v1|SRR346935.272068_T1 1419 4837 208 83.67 glotblastn WNU8_H956 phalaenopsis|11v1|SRR125771.1004285_T1 1420 4838 208 83.67 glotblastn WNU8_H957 canola|11v1|EE503309_T1 1421 4839 208 83.59 glotblastn WNU8_H1059 poplar|13v1|SRR037106.322926_T1 1422 4840 208 83.5 glotblastn WNU8_H958 utricularia|11v1|SRR094438.101387 1423 4841 208 83.5 globlastp WNU8_H959 euonymus|11v1|SRR070038X11029_P1 1424 4842 208 83.4 globlastp WNU8_H960 flaveria|11v1|SRR149232.121875_P1 1425 4843 208 83.4 globlastp WNU8_H961 b_juncea|12v1|E6ANDIZ01A3F2Z_P1 1426 4844 208 83.3 globlastp WNU8_H962 banana|12v1|ES432203_T1 1427 4845 208 83.22 glotblastn WNU8_H963 wheat|12v3|BQ245085 1428 4846 208 83.22 glotblastn WNU8_H1060 chickpea|13v2|GR917090_P1 1429 4847 208 83 globlastp WNU8_H964 rye|12v1|DRR001012.144376 1430 4848 208 83 globlastp WNU8_H965 rye|12v1|DRR001012.167511 1431 4849 208 83 globlastp WNU8_H966 rye|12v1|DRR001012.727979 1432 4849 208 83 globlastp WNU8_H967 eschscholzia|11v1|CD481374_P1 1433 4850 208 82.8 globlastp WNU8_H968 primula|11v1|SRR098680X105746_P1 1434 4851 208 82.8 globlastp WNU8_H969 ambrosia|11v1|SRR346935.110894_T1 1435 4852 208 82.77 glotblastn WNU8_H970 cephalotaxus|11v1|SRR064395X10013_P1 1436 4853 208 82.6 globlastp WNU8_H971 euonymus|11v1|SRR070038X103334_P1 1437 4854 208 82.6 globlastp WNU8_H972 pineapple|10v1|DT335789_P1 1438 4855 208 82.6 globlastp WNU8_H1061 switchgrass|12v1|PVJGIV8051000_T1 1439 4856 208 82.55 glotblastn WNU8_H973 chelidonium|11v1|SRR084752X107771_T1 1440 4857 208 82.1 glotblastn WNU8_H974 curcuma|10v1|DY388837_P1 1441 4858 208 82.1 globlastp WNU8_H975 rye|12v1|BF146130 1442 4859 208 82.1 globlastp WNU8_H976 vinca|11v1|SRR098690X100048 1443 4860 208 82.1 globlastp WNU8_H1062 chickpea|13v2|SRR133517.728325_T1 1444 4861 208 82.03 glotblastn WNU8_H1063 chickpea|13v2|SRR133517.1159_T1 1445 4862 208 81.97 glotblastn WNU8_H977 eschscholzia|11v1|CD476820_P1 1446 4863 208 81.9 globlastp WNU8_H978 utricularia|11v1|SRR094438.103690 1447 4864 208 81.9 globlastp WNU8_H979 rye|12v1|DRR001012.558136 1448 4865 208 81.88 glotblastn WNU8_H980 wheat|12v3|CA484380 1449 4866 208 81.88 glotblastn WNU8_H981 canola|11v1|BNU21744XX1_P1 1450 4867 208 81.4 globlastp WNU8_H982 poppy|11v1|SRR096789.100249_P1 1451 4868 208 81.4 globlastp WNU8_H983 wheat|12v3|AL822116 1452 4869 208 81.29 glotblastn WNU8_H984 cotton|11v1|ES822536_T1 1453 4870 208 81.25 glotblastn WNU8_H985 lovegrass|gb167|EH185033_T1 1454 4871 208 81.21 glotblastn WNU8_H986 b_juncea|12v1|E6ANDIZ01BSCGA_P1 1455 4872 208 81.2 globlastp WNU8_H987 parthenium|10v1|GW779513_P1 1456 4873 208 81.2 globlastp WNU8_H988 orobanche|10v1|SSRR023189S0001008_P1 1457 4874 208 81.1 globlastp WNU8_H989 poppy|11v1|SRR030260.128199_T1 1458 4875 208 81.06 glotblastn WNU8_H990 flaveria|11v1|SRR149239.161671_P1 1459 4876 208 81 globlastp WNU8_H991 marchantia|gb166|BJ848715_P1 1460 4877 208 81 globlastp WNU8_H992 podocarpus|10v1|SSRR065014S0001888_P1 1461 4878 208 81 globlastp WNU8_H993 canola|11v1|EV196524XX2_T1 1462 4879 208 80.98 glotblastn WNU8_H994 flaveria|11v1|SRR149241.119767_T1 1463 4880 208 80.76 glotblastn WNU8_H995 beech|11v1|SRR006293.10304_P1 1464 4881 208 80.4 globlastp WNU8_H996 canola|11v1|SRR019556.19904_P1 1465 4882 208 80.4 globlastp WNU8_H997 chickpea|11v1|AY112726 1466 4883 208 80.4 globlastp WNU8_H998 canola|11v1|EE405799XX2_T1 1467 4884 208 80.31 glotblastn WNU8_H999 canola|11v1|SRR329661.125622_T1 1468 4885 208 80.31 glotblastn WNU9_H1 leymus|gb166|EG398632_P1 1469 4886 209 95.5 globlastp WNU9_H2 wheat|12v3|AL822016 1470 4887 209 95.5 globlastp WNU9_H3 rye|12v1|DRR001012.199117 1471 4888 209 93.47 glotblastn WNU9_H4 oat|11v1|GO598730_P1 1472 4889 209 86.1 globlastp WNU9_H5 brachypodium|12v1|BRADI3G57060_P1 1473 4890 209 83.4 globlastp WNU9_H12 switchgrass|12v1|FE624489_P1 1474 4891 209 82.5 globlastp WNU9_H6 switchgrass|gb167|FE624489 1475 4892 209 82.5 globlastp WNU9_H13 switchgrass|12v1|FE635297_P1 1476 4893 209 81.5 globlastp WNU9_H7 maize|10v1|AI677093_P1 1477 4894 209 81.5 globlastp WNU9_H8 switchgrass|gb167|FE607705 1478 4895 209 81.5 globlastp WNU9_H9 sorghum|12v1|SB04G029010 1479 4896 209 81 globlastp WNU9_H10 rice|11v1|AU065182 1480 4897 209 80.4 globlastp WNU9_H11 foxtail_millet|11v3|PHY7SI018400M_P1 1481 4898 209 80 globlastp WNU10_H2 brachypodium|12v1|BRADI3G58320_P1 1482 4899 210 88.4 globlastp WNU10_H11 wheat|12v3|BQ237924 1483 4900 210 88.3 globlastp WNU10_H3 brachypodium|12v1|BRADI3G58327_P1 1484 4901 210 86.4 globlastp WNU10_H5 rice|11v1|AA750675 1485 4902 210 83.2 globlastp WNU10_H6 foxtail_millet|11v3|PHY7SI016581M_P1 1486 4903 210 81.2 globlastp WNU10_H8 switchgrass|gb167|DN141218 1487 4904 210 81.1 globlastp WNU10_H14 switchgrass|12v1|DN141218_P1 1488 4905 210 80.9 globlastp WNU10_H15 switchgrass|12v1|FE632994_P1 1489 4906 210 80.9 globlastp WNU10_H7 sorghum|12v1|SB04G033850 1490 4907 210 80.8 globlastp WNU11_H1 wheat|12v3|CA642552 1491 4908 211 92.7 globlastp WNU11_H2 wheat|12v3|BQ245800 1492 4909 211 91.8 globlastp WNU11_H3 wheat|12v3|BE419463 1493 4910 211 90.9 globlastp WNU11_H4 rye|12v1|DRR001012.174712 1494 4911 211 90.1 globlastp WNU11_H5 rye|12v1|DRR001012.157939 1495 4912 211 89.2 globlastp WNU11_H6 lolium|10v1|AU247649_P1 1496 4913 211 86.5 globlastp WNU11_H7 oat|11v1|CN817037_P1 1497 4914 211 85.6 globlastp WNU11_H8 oat|11v1|GR333192_P1 1498 4914 211 85.6 globlastp WNU13_H1 brachypodium|12v1|BRADI4G44997_T1 1499 4915 213 85.16 glotblastn WNU13_H2 wheat|12v3|AL817063 1500 4916 213 82.5 globlastp WNU13_H3 rye|12v1|DRR001012.156654 1501 4917 213 82.3 globlastp WNU13_H4 switchgrass|12v1|DN145145_T1 1502 4918 213 80.09 glotblastn WNU14_H1 wheat|12v3|BI479735 1503 4919 214 97.7 globlastp WNU14_H2 rye|12v1|DRR001012.102019 1504 4920 214 97.1 globlastp WNU14_H3 rye|12v1|DRR001012.115426 1505 4921 214 97.1 globlastp WNU14_H4 rye|12v1|DRR001012.156071 1506 4922 214 90.08 glotblastn WNU15_H1 rye|12v1|DRR001012.112543 1507 4923 215 93 globlastp WNU15_H2 wheat|12v3|BE404360 1508 4924 215 92.99 glotblastn WNU15_H3 wheat|12v3|BE422752 1509 4925 215 92.8 globlastp WNU15_H4 wheat|12v3|BM134630 1510 4926 215 92.8 glotblastn WNU15_H5 oat|11v1|CN820180_P1 1511 4927 215 85.4 globlastp WNU15_H6 brachypodium|12v1|BRADI2G17000_P1 1512 4928 215 83.4 globlastp WNU16_H1 wheat|12v3|CA501314 1513 4929 216 97.2 globlastp WNU16_H2 leymus|gb166|EG390149_P1 1514 4930 216 92.3 globlastp WNU16_H4 switchgrass|12v1|FE626303_P1 1515 4931 216 80.9 globlastp WNU16_H5 switchgrass|12v1|FL841650_P1 1516 4932 216 80.3 globlastp WNU16_H3 switchgrass|gb167|FL841650 1517 4933 216 80.3 globlastp WNU17_H1 wheat|12v3|BE414307 1518 217 217 100 globlastp WNU17_H2 wheat|12v3|BE427605 1519 217 217 100 globlastp WNU17_H3 brachypodium|12v1|BRADI2G16770_P1 1520 4934 217 99.3 globlastp WNU17_H4 fescue|gb161|DT688428_P1 1521 4935 217 99.3 globlastp WNU17_H5 oat|11v1|GR340361_P1 1522 4935 217 99.3 globlastp WNU17_H6 oat|11v1|GR349432_P1 1523 4935 217 99.3 globlastp WNU17_H7 rye|12v1|DRR001012.157480 1524 4936 217 99.3 globlastp WNU17_H8 canola|11v1|CN730363_T1 1525 4937 217 98.04 glotblastn WNU17_H9 b_juncea|12v1|E6ANDIZ02FND41_P1 1526 4938 217 98 globlastp WNU17_H10 b_rapa|11v1|CN730363_P1 1527 4938 217 98 globlastp WNU17_H11 b_rapa|11v1|L47869_P1 1528 4939 217 98 globlastp WNU17_H12 barley|12v1|BI946826_P1 1529 4940 217 98 globlastp WNU17_H13 canola|11v1|CN730530_P1 1530 4939 217 98 globlastp WNU17_H14 leymus|gb166|EG374708_P1 1531 4940 217 98 globlastp WNU17_H15 millet|10v1|EVO454PM003141_P1 1532 4941 217 98 globlastp WNU17_H16 millet|10v1|EVO454PM089657_P1 1533 4941 217 98 globlastp WNU17_H17 oat|11v1|GR342863_P1 1534 4940 217 98 globlastp WNU17_H18 pseudoroegneria|gb167|FF340632 1535 4940 217 98 globlastp WNU17_H19 rye|12v1|BE705287 1536 4940 217 98 globlastp WNU17_H20 rye|12v1|CD453254 1537 4940 217 98 globlastp WNU17_H21 wheat|12v3|BE402224 1538 4940 217 98 globlastp WNU17_H22 wheat|12v3|BE404292 1539 4940 217 98 globlastp WNU17_H433 monkeyflower|12v1|DV210516_P1 1540 4942 217 97.4 globlastp WNU17_H23 arabidopsis_lyrata|09v1|JGIAL001776_P1 1541 4942 217 97.4 globlastp WNU17_H24 arabidopsis|10v1|AT1G16890_P1 1542 4942 217 97.4 globlastp WNU17_H25 b_juncea|12v1|E6ANDIZ01A5B07_P1 1543 4942 111 97.4 globlastp WNU17_H26 b_juncea|12v1|E6ANDIZ01BWYBD_P1 1544 4942 111 97.4 globlastp WNU17_H27 b_juncea|12v1|E6ANDIZ01DEBC1_P1 1545 4942 111 97.4 globlastp WNU17_H28 b_juncea|12v1|E6ANDIZ01EH3VM_P1 1546 4942 111 97.4 globlastp WNU17_H29 b_oleracea|gb161|DY027215_P1 1547 4943 111 97.4 globlastp WNU17_H30 b_oleracea|gb161|DY027796_P1 1548 4944 211 97.4 globlastp WNU17_H31 b_rapa|11v1|BQ790813_P1 1549 4945 111 97.4 globlastp WNU17_H32 b_rapa|11v1|BQ791570_P1 1550 4944 211 97.4 globlastp WNU17_H33 b_rapa|11v1|CD817358_P1 1551 4942 217 97.4 globlastp WNU17_H34 canola|11v1|CN730552_P1 1552 4944 217 97.4 globlastp WNU17_H35 canola|11v1|CN731240_P1 1553 4945 217 97.4 globlastp WNU17_H36 canola|11v1|DY024565_P1 1554 4943 217 97.4 globlastp WNU17_H37 canola|11v1|EG020704_P1 1555 4942 217 97.4 globlastp WNU17_H38 canola|11v1|EG021063_P1 1556 4945 217 97.4 globlastp WNU17_H39 canola|11v1|EV012066_P1 1557 4945 217 97.4 globlastp WNU17_H40 cenchrus|gb166|BM084863_P1 1558 4946 217 97.4 globlastp WNU17_H41 eggplant|10v1|FS005444_P1 1559 4942 217 97.4 globlastp WNU17_H42 euonymus|11v1|SRR070038X217657_P1 1560 4942 217 97.4 globlastp WNU17_H43 fescue|gb161|DT685373_P1 1561 4946 217 97.4 globlastp WNU17_H44 foxtail_millet|11v3|PHY7SI023172M_P1 1562 4946 217 97.4 globlastp WNU17_H45 grape|11v1|GSVIVT01020701001_P1 1563 4942 217 97.4 globlastp WNU17_H46 lettuce|12v1|DW069539_P1 1564 4947 217 97.4 globlastp WNU17_H47 lotus|09v1|CB828211_P1 1565 4944 217 97.4 globlastp WNU17_H48 monkeyflower|10v1|DV210516 1566 4942 217 97.4 globlastp WNU17_H49 nasturtium|11v1|SRR032558.105835_P1 1567 4948 217 97.4 globlastp WNU17_H50 pepper|12v1|BM066751_P1 1568 4942 217 97.4 globlastp WNU17_H51 phyla|11v2|SRR099037X112851_P1 1569 4942 217 97.4 globlastp WNU17_H52 pigeonpea|11v1|GR472520_P1 1570 4942 217 97.4 globlastp WNU17_H53 radish|gb164|EV535692 1571 4942 217 97.4 globlastp WNU17_H54 radish|gb164|EV539302 1572 4942 217 97.4 globlastp WNU17_H55 radish|gb164|EV567217 1573 4942 217 97.4 globlastp WNU17_H56 radish|gb164|EW714058 1574 4942 217 97.4 globlastp WNU17_H57 radish|gb164|EW726281 1575 4942 217 97.4 globlastp WNU17_H58 radish|gb164|EX755281 1576 4942 217 97.4 globlastp WNU17_H59 radish|gb164|EX765304 1577 4942 217 97.4 globlastp WNU17_H60 senecio|gb170|DY665106 1578 4949 217 97.4 globlastp WNU17_H61 sugarcane|11v1|AA961288 1579 4946 217 97.4 globlastp WNU17_H62 thellungiella_halophilum|11v1|DN774469 1580 4950 217 97.4 globlastp WNU17_H63 thellungiella_parvulum|11v1|BY805345 1581 4942 217 97.4 globlastp WNU17_H64 thellungiella_parvulum|11v1|DN774469 1582 4950 217 97.4 globlastp WNU17_H65 tobacco|gb162|CV018033 1583 4942 217 97.4 globlastp WNU17_H66 tobacco|gb162|EB428813 1584 4942 217 97.4 globlastp WNU17_H67 tomato|11v1|BG126290 1585 4942 217 97.4 globlastp WNU17_H68 triphysaria|10v1|EY130377 1586 4951 217 97.4 globlastp WNU17_H69 brachypodium|12v1|BRADI2G46290T2_T1 1587 4952 217 96.73 glotblastn WNU17_H70 centaurea|11v1|EH737366_T1 1588 4953 217 96.73 glotblastn WNU17_H71 cirsium|11v1|SRR346952.1004074_T1 1589 4954 217 96.73 glotblastn WNU17_H72 cotton|11v1|DW512153_T1 1590 4955 217 96.73 glotblastn WNU17_H73 salvia|10v1|SRR014553S0029303 1591 4956 217 96.73 glotblastn WNU17_H434 nicotiana_benthamiana|12v1|EB428813_P1 1592 4957 217 96.7 globlastp WNU17_H435 nicotiana_benthamiana|12v1|EB448956_P1 1593 4958 217 96.7 globlastp WNU17_H436 switchgrass|12v1|DN143106_P1 1594 4959 217 96.7 globlastp WNU17_H437 switchgrass|12v1|FE603001_P1 1595 4959 217 96.7 globlastp WNU17_H74 ambrosia|11v1|SRR346935.169112_P1 1596 4958 217 96.7 globlastp WNU17_H75 ambrosia|11v1|SRR346943.103583_P1 1597 4958 217 96.7 globlastp WNU17_H76 amorphophallus|11v2|SRR089351X103836_P1 1598 4960 217 96.7 globlastp WNU17_H77 amsonia|11v1|SRR098688X10543_P1 1599 4958 217 96.7 globlastp WNU17_H78 arabidopsis_lyrata|09v1|JGIAL008169_P1 1600 4958 217 96.7 globlastp WNU17_H79 arnica|11v1|SRR099034X115110_P1 1601 4958 217 96.7 globlastp WNU17_H80 avocado|10v1|FD503593_P1 1602 4961 217 96.7 globlastp WNU17_H81 blueberry|12v1|SRR353282X26947D1_P1 1603 4962 217 96.7 globlastp WNU17_H82 canola|11v1|DY005277_P1 1604 4963 217 96.7 globlastp WNU17_H83 catharanthus|11v1|EG558230_P1 1605 4958 217 96.7 globlastp WNU17_H84 centaurea|11v1|EH780394_P1 1606 4958 217 96.7 globlastp WNU17_H85 chestnut|gb170|SRR006295S0003346_P1 1607 4964 217 96.7 globlastp WNU17_H86 cichorium|gb171|EH684694_P1 1608 4958 217 96.7 globlastp WNU17_H87 cichorium|gb171|EH695309_P1 1609 4965 217 96.7 globlastp WNU17_H88 clover|gb162|BB935221_P1 1610 4958 217 96.7 globlastp WNU17_H89 coffea|10v1|DV665508_P1 1611 4958 217 96.7 globlastp WNU17_H90 cotton|11v1|CO495392XX1_P1 1612 4958 217 96.7 globlastp WNU17_H91 cucurbita|11v1|SRR091276X100473_P1 1613 4958 217 96.7 globlastp WNU17_H92 cyamopsis|10v1|EG979319_P1 1614 4958 217 96.7 globlastp WNU17_H93 cynara|gb167|GE589151_P1 1615 4958 217 96.7 globlastp WNU17_H94 dandelion|10v1|DR398709_P1 1616 4958 217 96.7 globlastp WNU17_H95 eggplant|10v1|FS007798_P1 1617 4958 217 96.7 globlastp WNU17_H96 euonymus|11v1|SRR070038X115123_P1 1618 4966 217 96.7 globlastp WNU17_H97 euonymus|11v1|SRR070038X117366_P1 1619 4967 217 96.7 globlastp WNU17_H98 euphorbia|11v1|DV122132_P1 1620 4958 217 96.7 globlastp WNU17_H99 flaveria|11v1|SRR149229.134328_P1 1621 4958 217 96.7 globlastp WNU17_H100 flaveria|11v1|SRR149229.14807_P1 1622 4958 217 96.7 globlastp WNU17_H101 flaveria|11v1|SRR149229.23144_P1 1623 4958 217 96.7 globlastp WNU17_H102 flaveria|11v1|SRR149232.113312_P1 1624 4958 217 96.7 globlastp WNU17_H103 flax|11v1|JG022693_P1 1625 4968 217 96.7 globlastp WNU17_H104 flax|11v1|JG035547_P1 1626 4968 217 96.7 globlastp WNU17_H105 foxtail_millet|11v3|EC613913_P1 1627 4959 217 96.7 globlastp WNU17_H106 gossypium_raimondii|12v1|AI726003_P1 1628 4958 217 96.7 globlastp WNU17_H107 guizotia|10v1|GE552627_P1 1629 4965 217 96.7 globlastp WNU17_H108 iceplant|gb164|AI943435_P1 1630 4969 217 96.7 globlastp WNU17_H109 ipomoea_batatas|10v1|EE876680_P1 1631 4970 217 96.7 globlastp WNU17_H110 lettuce|12v1|DW047293_P1 1632 4958 217 96.7 globlastp WNU17_H111 lotus|09v1|AW719221_P1 1633 4971 217 96.7 globlastp WNU17_H112 maize|10v1|AI621751_P1 1634 4972 217 96.7 globlastp WNU17_H113 maize|10v1|T20360_P1 1635 4973 217 96.7 globlastp WNU17_H114 medicago|12v1|AA660332_P1 1636 4958 217 96.7 globlastp WNU17_H115 nasturtium|11v1|GH169196_P1 1637 4974 217 96.7 globlastp WNU17_H116 oak|10v1|DN950778_P1 1638 4964 217 96.7 globlastp WNU17_H117 peanut|10v1|CD038839_P1 1639 4958 217 96.7 globlastp WNU17_H118 peanut|10v1|EE127715_P1 1640 4958 217 96.7 globlastp WNU17_H119 periwinkle|gb164|EG558230_P1 1641 4958 217 96.7 globlastp WNU17_H120 petunia|gb171|FN000074_P1 1642 4970 217 96.7 globlastp WNU17_H121 potato|10v1|BE919486_P1 1643 4971 217 96.7 globlastp WNU17_H122 potato|10v1|BG590551_P1 1644 4975 217 96.7 globlastp WNU17_H123 radish|gb164|EW733273 1645 4976 217 96.7 globlastp WNU17_H124 radish|gb164|EY949993 1646 4976 217 96.7 globlastp WNU17_H125 rice|11v1|BE228269 1647 4959 217 96.7 globlastp WNU17_H126 safflower|gb162|EL398795 1648 4958 217 96.7 globlastp WNU17_H127 solanum_phureja|09v1|SPHBG126290 1649 4975 217 96.7 globlastp WNU17_H128 solanum_phureja|09v1|SPHBG134126 1650 4971 217 96.7 globlastp WNU17_H129 soybean|11v1|GLYMA06G33840 1651 4977 217 96.7 globlastp WNU17_H129 soybean|12v1|GLYMA06G33840_P1 1652 4977 217 96.7 globlastp WNU17_H130 soybean|11v1|GLYMA13G34600 1653 4958 217 96.7 globlastp WNU17_H130 soybean|12v1|GLYMA13G34600T2_P1 1654 4958 217 96.7 globlastp WNU17_H131 soybean|11v1|GLYMA20G10030 1655 4978 217 96.7 globlastp WNU17_H131 soybean|12v1|GLYMA20G10030_P1 1656 4978 217 96.7 globlastp WNU17_H132 spurge|gb161|DV122132 1657 4958 217 96.7 globlastp WNU17_H133 sunflower|12v1|CD850417 1658 4958 217 96.7 globlastp WNU17_H134 sunflower|12v1|DY925368 1659 4958 217 96.7 globlastp WNU17_H135 switchgrass|gb167|DN143106 1660 4959 217 96.7 globlastp WNU17_H136 switchgrass|gb167|FE603001 1661 4959 217 96.7 globlastp WNU17_H137 tabernaemontana|11v1|SRR098689X110278 1662 4958 217 96.7 globlastp WNU17_H138 tea|10v1|FE942783 1663 4965 217 96.7 globlastp WNU17_H139 thellungiella_halophilum|11v1|BY805345 1664 4979 217 96.7 globlastp WNU17_H140 tobacco|gb162|EB427071 1665 4958 217 96.7 globlastp WNU17_H141 triphysaria|10v1|EX985155 1666 4980 217 96.7 globlastp WNU17_H142 triphysaria|10v1|EY130295 1667 4981 217 96.7 globlastp WNU17_H143 utricularia|11v1|SRR094438.102997 1668 4979 217 96.7 globlastp WNU17_H144 valeriana|11v1|SRR099039X102133 1669 4965 217 96.7 globlastp WNU17_H145 vinca|11v1|SRR098690X112996 1670 4965 217 96.7 globlastp WNU17_H438 castorbean|12v1|EE255403_P1 1671 4982 217 96.1 globlastp WNU17_H439 chickpea|13v2|FE668632_P1 1672 4983 217 96.1 globlastp WNU17_H440 monkeyflower|12v1|CV521813_P1 1673 4984 217 96.1 globlastp WNU17_H441 prunus_mume|13v1|BU042798_P1 1674 4985 217 96.1 globlastp WNU17_H442 zostera|12v1|SRR057351X11589D1_P1 1675 4986 217 96.1 globlastp WNU17_H146 antirrhinum|gb166|AJ788570_P1 1676 4987 217 96.1 globlastp WNU17_H147 arabidopsis|10v1|AT1G78870_P1 1677 4988 217 96.1 globlastp WNU17_H148 artemisia|10v1|EY049658_P1 1678 4989 217 96.1 globlastp WNU17_H149 avocado|10v1|CK762705_P1 1679 4990 217 96.1 globlastp WNU17_H150 banana|12v1|FF557470_P1 1680 4982 217 96.1 globlastp WNU17_H151 beech|11v1|SRR006293.25722_P1 1681 4982 217 96.1 globlastp WNU17_H152 blueberry|12v1|SRR353282X31338D1_P1 1682 4991 217 96.1 globlastp WNU17_H153 bupleurum|11v1|SRR301254.137136_P1 1683 4992 217 96.1 globlastp WNU17_H154 cacao|10v1|CU475181_P1 1684 4982 217 96.1 globlastp WNU17_H155 cassava|09v1|DV452105_P1 1685 4982 217 96.1 globlastp WNU17_H156 castorbean|11v1|EE255403 1686 4982 217 96.1 globlastp WNU17_H157 cedrus|11v1|SRR065007X100480_P1 1687 4993 217 96.1 globlastp WNU17_H158 centaurea|11v1|SRR346938.10212_P1 1688 4994 217 96.1 globlastp WNU17_H159 chestnut|gb170|SRR006295S0005351_P1 1689 4982 217 96.1 globlastp WNU17_H160 chickpea|11v1|FE668632 1690 4983 217 96.1 globlastp WNU17_H161 clementine|11v1|CF417240_P1 1691 4982 217 96.1 globlastp WNU17_H162 cleome_gynandra|10v1|SRR015532S0027837_P1 1692 4982 217 96.1 globlastp WNU17_H163 cleome_spinosa|10v1|GR932301_P1 1693 4982 217 96.1 globlastp WNU17_H164 cleome_spinosa|10v1|SRR015531S0013877_P1 1694 4982 217 96.1 globlastp WNU17_H165 cotton|11v1|AI726003_P1 1695 4995 217 96.1 globlastp WNU17_H166 cotton|11v1|AI729870_P1 1696 4982 217 96.1 globlastp WNU17_H167 cotton|11v1|DT527415_P1 1697 4996 217 96.1 globlastp WNU17_H168 cowpea|12v1|FC460687_P1 1698 4997 217 96.1 globlastp WNU17_H169 cowpea|12v1|FF391401_P1 1699 4998 217 96.1 globlastp WNU17_H170 cucumber|09v1|DV632828_P1 1700 4982 217 96.1 globlastp WNU17_H171 dandelion|10v1|DR398472_P1 1701 4999 217 96.1 globlastp WNU17_H172 eschscholzia|11v1|CD479283_P1 1702 5000 217 96.1 globlastp WNU17_H173 euphorbia|11v1|BP961080_P1 1703 4982 217 96.1 globlastp WNU17_H174 flaveria|11v1|SRR149229.121259_P1 1704 5001 217 96.1 globlastp WNU17_H175 flaveria|11v1|SRR149244.109043_P1 1705 5002 217 96.1 globlastp WNU17_H176 flax|11v1|GW864855_P1 1706 5003 217 96.1 globlastp WNU17_H177 fraxinus|11v1|SRR058827.103663_P1 1707 4982 217 96.1 globlastp WNU17_H178 fraxinus|11v1|SRR058827.107638_P1 1708 4990 217 96.1 globlastp WNU17_H179 gossypium_raimondii|12v1|AI729870_P1 1709 4982 217 96.1 globlastp WNU17_H180 grape|11v1|GSVIVT01014215001_P1 1710 4982 217 96.1 globlastp WNU17_H181 guizotia|10v1|GE562307_P1 1711 5001 217 96.1 globlastp WNU17_H182 humulus|11v1|EX518933_P1 1712 4983 217 96.1 globlastp WNU17_H183 ipomoea_batatas|10v1|EE875329_P1 1713 5004 217 96.1 globlastp WNU17_H184 ipomoea_nil|10v1|CJ747934_P1 1714 5005 217 96.1 globlastp WNU17_H185 ipomoea_nil|10v1|CJ752578_P1 1715 4982 217 96.1 globlastp WNU17_H186 jatropha|09v1|GT228569_P1 1716 4982 217 96.1 globlastp WNU17_H187 kiwi|gb166|FG423895_P1 1717 5006 217 96.1 globlastp WNU17_H188 liquorice|gb171|FS244937_P1 1718 4982 217 96.1 globlastp WNU17_H189 maize|10v1|AA979832_P1 1719 5007 217 96.1 globlastp WNU17_H190 maize|10v1|AW171809_P1 1720 5008 217 96.1 globlastp WNU17_H191 melon|10v1|DV632828_P1 1721 4982 217 96.1 globlastp WNU17_H192 momordica|10v1|SRR071315S0000326_P1 1722 4982 217 96.1 globlastp WNU17_H193 oak|10v1|FP025798_P1 1723 4982 217 96.1 globlastp WNU17_H194 olea|11v1|SRR014463.21469 1724 4990 217 96.1 globlastp WNU17_H194 olea|13v1|SRR014463X21469D1_P1 1725 4990 217 96.1 globlastp WNU17_H195 olea|11v1|SRR014463.22162 1726 4982 217 96.1 globlastp WNU17_H195 olea|13v1|SRR014463X22162D1_P1 1727 4982 217 96.1 globlastp WNU17_H196 orange|11v1|CF417240_P1 1728 4982 217 96.1 globlastp WNU17_H197 orobanche|10v1|SRR023189S0012723_P1 1729 5009 217 96.1 globlastp WNU17_H198 papaya|gb165|EX231148_P1 1730 4982 217 96.1 globlastp WNU17_H199 parthenium|10v1|GW778911_P1 1731 5010 217 96.1 globlastp WNU17_H200 pepper|12v1|BM066122_P1 1732 5011 217 96.1 globlastp WNU17_H201 phyla|11v2|SRR099035X100283_P1 1733 4987 217 96.1 globlastp WNU17_H202 phyla|11v2|SRR099035X100758_P1 1734 4983 217 96.1 globlastp WNU17_H203 pigeonpea|11v1|GR470024_P1 1735 4998 217 96.1 globlastp WNU17_H204 plantago|11v2|SRR066373X103675_P1 1736 4982 217 96.1 globlastp WNU17_H205 poppy|11v1|FG599569_P1 1737 5012 217 96.1 globlastp WNU17_H206 poppy|11v1|SRR096789.122196_P1 1738 5011 217 96.1 globlastp WNU17_H207 prunus|10v1|CB822666 1739 5013 217 96.1 globlastp WNU17_H208 rose|12v1|BQ103975 1740 5013 217 96.1 globlastp WNU17_H209 silene|11v1|GH292005 1741 5014 217 96.1 globlastp WNU17_H210 silene|11v1|GH294038 1742 5015 217 96.1 globlastp WNU17_H211 sorghum|12v1|SB03G030840 1743 5007 217 96.1 globlastp WNU17_H212 soybean|11v1|GLYMA12G35790 1744 5016 217 96.1 globlastp WNU17_H212 soybean|12v1|GLYMA12G35790_P1 1745 5016 217 96.1 globlastp WNU17_H213 strawberry|11v1|CO817378 1746 5013 217 96.1 globlastp WNU17_H214 sugarcane|10v1|BQ533055 1747 5007 217 96.1 globlastp WNU17_H215 sunflower|12v1|CD850786 1748 5001 217 96.1 globlastp WNU17_H216 switchgrass|gb167|DN145151 1749 5017 217 96.1 globlastp WNU17_H217 thalictrum|11v1|SRR096787X117438 1750 5018 217 96.1 globlastp WNU17_H218 tomato|11v1|BG134126 1751 4983 217 96.1 globlastp WNU17_H219 tragopogon|10v1|SRR020205S0000057 1752 5019 217 96.1 globlastp WNU17_H220 trigonella|11v1|SRR066194X104236 1753 5020 217 96.1 globlastp WNU17_H221 tripterygium|11v1|SRR098677X10016 1754 5021 217 96.1 globlastp WNU17_H222 walnuts|gb166|CB303910 1755 4982 217 96.1 globlastp WNU17_H223 walnuts|gb166|CV198359 1756 4982 217 96.1 globlastp WNU17_H224 watermelon|11v1|DV632828 1757 4982 217 96.1 globlastp WNU17_H225 zostera|10v1|SRR057351S0000733 1758 4986 217 96.1 globlastp WNU17_H226 artemisia|10v1|EY098112_T1 1759 5022 217 96.08 glotblastn WNU17_H227 b_rapa|11v1|BQ704394_T1 1760 5023 217 96.08 glotblastn WNU17_H228 sarracenia|11v1|SRR192669.10343 1761 5024 217 96.08 glotblastn WNU17_H229 sarracenia|11v1|SRR192669.105437 1762 5025 217 96.08 glotblastn WNU17_H230 senecio|gb170|DY663326 1763 5026 217 96.08 glotblastn WNU17_H231 wheat|12v3|CA486470 1764 5027 217 96.08 glotblastn WNU17_H232 ambrosia|11v1|SRR346935.112046_T1 1765 5024 217 95.42 glotblastn WNU17_H233 flaveria|11v1|SRR149232.212348_T1 1766 5028 217 95.42 glotblastn WNU17_H234 poppy|11v1|SRR030259.119059_T1 1767 5029 217 95.42 glotblastn WNU17_H443 bean|12v2|CA906757_P1 1768 5030 217 95.4 globlastp WNU17_H235 acacia|10v1|FS588158_P1 1769 5031 217 95.4 globlastp WNU17_H236 amorphophallus|11v2|SRR089351X103308_P1 1770 5032 217 95.4 globlastp WNU17_H237 antirrhinum|gb166|AJ558475_P1 1771 5033 217 95.4 globlastp WNU17_H238 aristolochia|10v1|FD752041_P1 1772 5034 217 95.4 globlastp WNU17_H239 banana|12v1|FF559774_P1 1773 5035 217 95.4 globlastp WNU17_H240 basilicum|10v1|DY340408_P1 1774 5036 217 95.4 globlastp WNU17_H241 bean|12v1|CA906757 1775 5030 217 95.4 globlastp WNU17_H242 beet|12v1|EG549424_P1 1776 5037 217 95.4 globlastp WNU17_H243 beet|12v1|EG550821_P1 1777 5038 217 95.4 globlastp WNU17_H244 blueberry|12v1|SRR353282X43109D1_P1 1778 5039 217 95.4 globlastp WNU17_H245 blueberry|12v1|SRR353282X90355D1_P1 1779 5039 217 95.4 globlastp WNU17_H246 catharanthus|11v1|AF091621_P1 1780 5040 217 95.4 globlastp WNU17_H247 centaurea|11v1|EH723118_P1 1781 5041 217 95.4 globlastp WNU17_H248 centaurea|11v1|EH737491_P1 1782 5041 217 95.4 globlastp WNU17_H249 centaurea|11v1|EH760412_P1 1783 5041 217 95.4 globlastp WNU17_H250 chelidonium|11v1|SRR084752X105322_P1 1784 5042 217 95.4 globlastp WNU17_H251 cirsium|11v1|SRR346952.1008801_P1 1785 5041 217 95.4 globlastp WNU17_H252 cirsium|11v1|SRR346952.102609_P1 1786 5043 217 95.4 globlastp WNU17_H253 cucurbita|11v1|FG227319_P1 1787 5044 217 95.4 globlastp WNU17_H254 cynara|gb167|GE588125_P1 1788 5043 217 95.4 globlastp WNU17_H255 eucalyptus|11v2|CD669014_P1 1789 5045 217 95.4 globlastp WNU17_H256 euonymus|11v1|SRR070038X136525_P1 1790 5046 217 95.4 globlastp WNU17_H257 fagopyrum|11v1|SRR063689X102569_P1 1791 5047 217 95.4 globlastp WNU17_H258 fagopyrum|11v1|SRR063689X17391_P1 1792 5048 217 95.4 globlastp WNU17_H259 flax|11v1|JG133969_P1 1793 5049 217 95.4 globlastp WNU17_H260 fraxinus|11v1|SRR058827.169109_P1 1794 5050 217 95.4 globlastp WNU17_H261 ginseng|10v1|DV555857_P1 1795 5051 217 95.4 globlastp WNU17_H262 guizotia|10v1|GE555906_P1 1796 5052 217 95.4 globlastp WNU17_H263 heritiera|10v1|SRR005794S0001119_P1 1797 5045 217 95.4 globlastp WNU17_H264 iceplant|gb164|BE034207_P1 1798 5053 217 95.4 globlastp WNU17_H265 ipomoea_batatas|10v1|DV035340_P1 1799 5054 217 95.4 globlastp WNU17_H266 ipomoea_nil|10v1|CJ747207_P1 1800 5055 217 95.4 globlastp WNU17_H267 kiwi|gb166|FG409170_P1 1801 5056 217 95.4 globlastp WNU17_H268 liriodendron|gb166|FD488994_P1 1802 5057 217 95.4 globlastp WNU17_H269 oil_palm|11v1|EL688490_P1 1803 5034 217 95.4 globlastp WNU17_H270 orobanche|10v1|SRR023189S0006106_P1 1804 5058 217 95.4 globlastp WNU17_H271 pine|10v2|AA739766_P1 1805 5059 217 95.4 globlastp WNU17_H272 plantago|11v2|SRR066373X164128_P1 1806 5060 217 95.4 globlastp WNU17_H273 poplar|10v1|AI161701 1807 5045 217 95.4 globlastp WNU17_H273 poplar|13v1|AI161701_P1 1808 5045 217 95.4 globlastp WNU17_H274 poplar|10v1|AI162761 1809 5054 217 95.4 globlastp WNU17_H274 poplar|13v1|AI162761_P1 1810 5054 217 95.4 globlastp WNU17_H275 poppy|11v1|SRR030259.105591_P1 1811 5061 217 95.4 globlastp WNU17_H276 prunus|10v1|BU042798 1812 5062 217 95.4 globlastp WNU17_H277 pseudotsuga|10v1|SRR065119S0012686 1813 5063 217 95.4 globlastp WNU17_H278 radish|gb164|EY919768 1814 5064 217 95.4 globlastp WNU17_H279 safflower|gb162|EL386327 1815 5041 217 95.4 globlastp WNU17_H280 salvia|10v1|SRR014553S0000609 1816 5065 217 95.4 globlastp WNU17_H281 sarracenia|11v1|SRR192669.117327 1817 5066 217 95.4 globlastp WNU17_H282 scabiosal|11v1|SRR063723X10994 1818 5067 217 95.4 globlastp WNU17_H283 silene|11v1|GH291836 1819 5068 217 95.4 globlastp WNU17_H284 sorghum|12v1|SB02G021080 1820 5069 217 95.4 globlastp WNU17_H285 spruce|11v1|ES250195 1821 5070 217 95.4 globlastp WNU17_H286 strawberry|11v1|DY667301 1822 5071 217 95.4 globlastp WNU17_H287 sugarcane|10v1|CA066851 1823 5069 217 95.4 globlastp WNU17_H288 sunflower|12v1|CF077956 1824 5072 217 95.4 globlastp WNU17_H289 taxus|10v1|SRR032523S0000732XX1 1825 5073 217 95.4 globlastp WNU17_H290 tragopogon|10v1|SRR020205S0002138 1826 5074 217 95.4 globlastp WNU17_H291 utricularia|11v1|SRR094438.10007 1827 5075 217 95.4 globlastp WNU17_H292 utricularia|11v1|SRR094438.109222 1828 5076 217 95.4 globlastp WNU17_H293 valeriana|11v1|SRR099039X114224 1829 5067 217 95.4 globlastp WNU17_H294 valeriana|11v1|SRR099039X80681 1830 5077 217 95.4 globlastp WNU17_H444 bean|12v2|CA898393_P1 1831 5078 217 94.8 globlastp WNU17_H445 olea|13v1|SRR014463X11653D1_P1 1832 5079 217 94.8 globlastp WNU17_H446 switchgrass|12v1|DN152618_P1 1833 5080 217 94.8 globlastp WNU17_H295 abies|11v2|SRR098676X114290_P1 1834 5081 217 94.8 globlastp WNU17_H296 ambrosia|11v1|SRR346943.118378_P1 1835 5082 217 94.8 globlastp WNU17_H297 amorphophallus|11v2|SRR089351X101818_P1 1836 5083 217 94.8 globlastp WNU17_H298 arnica|11v1|SRR099034X136000_P1 1837 5082 217 94.8 globlastp WNU17_H299 artemisia|10v1|GW331403_P1 1838 5084 217 94.8 globlastp WNU17_H300 banana|12v1|FF560038_P1 1839 5085 217 94.8 globlastp WNU17_H302 cannabis|12v1|SOLX00033268_P1 1840 5086 217 94.8 globlastp WNU17_H303 cannabis|12v1|SOLX00040838_P1 1841 5086 217 94.8 globlastp WNU17_H304 canola|11v1|ES899299_P1 1842 5087 217 94.8 globlastp WNU17_H305 cephalotaxus|11v1|SRR064395X106265_P1 1843 5088 217 94.8 globlastp WNU17_H306 cirsium|11v1|SRR346952.11489_P1 1844 5089 217 94.8 globlastp WNU17_H307 cleome_gynandra|10v1|SRR015532S0000743_P1 1845 5090 217 94.8 globlastp WNU17_H308 cotton|11v1|AY560546_P1 1846 5091 217 94.8 globlastp WNU17_H309 cotton|11v1|BF272909_P1 1847 5092 217 94.8 globlastp WNU17_H310 cotton|11v1|CO092732_P1 1848 5093 217 94.8 globlastp WNU17_H311 cotton|11v1|DV850261_P1 1849 5094 217 94.8 globlastp WNU17_H312 cotton|11v1|SRR032367.852137_P1 1850 5091 217 94.8 globlastp WNU17_H313 cycas|gb166|CB090914_P1 1851 5095 217 94.8 globlastp WNU17_H314 dandelion|10v1|GO663352_P1 1852 5096 217 94.8 globlastp WNU17_H315 eschscholzia|11v1|CK744884_P1 1853 5097 217 94.8 globlastp WNU17_H316 fagopyrum|11v1|SRR063689X121403XX1_P1 1854 5098 217 94.8 globlastp WNU17_H317 ginger|gb164|DY369735_P1 1855 5099 217 94.8 globlastp WNU17_H318 gnetum|10v1|DN954342_P1 1856 5100 217 94.8 globlastp WNU17_H319 gossypium_raimondii|12v1|AY560546_P1 1857 5091 217 94.8 globlastp WNU17_H320 gossypium_raimondii|12v1|BF272909_P1 1858 5093 217 94.8 globlastp WNU17_H321 gossypium_raimondii|12v1|DT527415_P1 1859 5094 217 94.8 globlastp WNU17_H322 humulus|11v1|FG345870_P1 1860 5101 217 94.8 globlastp WNU17_H323 humulus|11v1|GD244056_P1 1861 5101 217 94.8 globlastp WNU17_H324 humulus|11v1|SRR098683X102824_P1 1862 5101 217 94.8 globlastp WNU17_H325 kiwi|gb166|FG426345_P1 1863 5102 217 94.8 globlastp WNU17_H326 liriodendron|gb166|CK745391_P1 1864 5103 217 94.8 globlastp WNU17_H327 maritime_pine|10v1|AL749594_P1 1865 5104 217 94.8 globlastp WNU17_H328 millet|10v1|EVO454PM030933_P1 1866 5105 217 94.8 globlastp WNU17_H329 olea|11v1|SRR014463.11653 1867 5079 217 94.8 globlastp WNU17_H330 onion|12v1|SRR073446X118270D1_P1 1868 5106 217 94.8 globlastp WNU17_H331 periwinkle|gb164|AF091621_P1 1869 5107 217 94.8 globlastp WNU17_H332 phalaenopsis|11v1|SRR125771.1002079_P1 1870 5108 217 94.8 globlastp WNU17_H333 phalaenopsis|11v1|SRR125771.1026536_P1 1871 5109 217 94.8 globlastp WNU17_H334 primula|11v1|SRR098679X107296_P1 1872 5110 217 94.8 globlastp WNU17_H335 radish|gb164|EV535483 1873 5111 217 94.8 globlastp WNU17_H336 rose|12v1|SRR397984.120485 1874 5112 217 94.8 globlastp WNU17_H337 sciadopitys|10v1|SRR065035S0012583 1875 5113 217 94.8 globlastp WNU17_H338 sciadopitys|10v1|SRR065035S0075123 1876 5114 217 94.8 globlastp WNU17_H339 switchgrass|gb167|DN152618 1877 5080 217 94.8 globlastp WNU17_H349 olea|13v1|SRR014463X30186D1_P1 1878 5115 217 94.8 globlastp WNU17_H340 onion|12v1|FS210737_T1 1879 5116 217 94.77 glotblastn WNU17_H341 sarracenia|11v1|SRR192669.100640 1880 5117 217 94.77 glotblastn WNU17_H342 sarracenia|11v1|SRR192669.16863 1881 5118 217 94.77 glotblastn WNU17_H343 tragopogon|10v1|SRR020205S0024946 1882 5119 217 94.77 glotblastn WNU17_H344 tripterygium|11v1|SRR098677X104747 1883 5120 217 94.77 glotblastn WNU17_H345 aquilegia|10v2|JGIAC026301_P1 1884 5121 217 94.2 globlastp WNU17_H346 amborella|12v3|CV012534_T1 1885 5122 217 94.12 glotblastn WNU17_H347 flaveria|11v1|SRR149229.290471XX1_T1 1886 5024 217 94.12 glotblastn WNU17_H348 fraxinus|11v1|SRR058827.135458_T1 1887 5123 217 94.12 glotblastn WNU17_H349 olea|11v1|SRR014463.30186 1888 5124 217 94.12 glotblastn WNU17_H447 switchgrass|12v1|FE600938_P1 1889 5125 217 94.1 globlastp WNU17_H350 amsonia|11v1|SRR098688X100872_P1 1890 5126 217 94.1 globlastp WNU17_H351 banana|12v1|ES431646_P1 1891 5127 217 94.1 globlastp WNU17_H352 cichorium|gb171|EH709360_P1 1892 5128 217 94.1 globlastp WNU17_H353 eschscholzia|11v1|SRR014116.107763_P1 1893 5129 217 94.1 globlastp WNU17_H354 pineapple|10v1|DT337097_P1 1894 5130 217 94.1 globlastp WNU17_H355 platanus|11v1|SRR096786X104389_P1 1895 5131 217 94.1 globlastp WNU17_H356 podocarpus|10v1|SRR065014S0008331_P1 1896 5132 217 94.1 globlastp WNU17_H357 spruce|11v1|ES249358 1897 5133 217 94.1 globlastp WNU17_H358 spruce|11v1|EX353857 1898 5133 217 94.1 globlastp WNU17_H359 switchgrass|gb167|FE600938 1899 5125 217 94.1 globlastp WNU17_H360 tabernaemontana|11v1|SRR098689X120633 1900 5134 217 94.1 globlastp WNU17_H361 zinnia|gb171|AU305997 1901 5135 217 94.1 globlastp WNU17_H362 abies|11v2|SRR098676X111177_P1 1902 5136 217 93.5 globlastp WNU17_H363 amborella|12v3|CK755984_P1 1903 5137 217 93.5 globlastp WNU17_H364 barley|12v1|BE413397_P1 1904 5138 217 93.5 globlastp WNU17_H365 distylium|11v1|SRR065077X112289_P1 1905 5139 217 93.5 globlastp WNU17_H366 fagopyrum|11v1|SRR063703X105646_P1 1906 5140 217 93.5 globlastp WNU17_H367 foxtail_millet|11v3|PHY7SI031377M_P1 1907 5141 217 93.5 globlastp WNU17_H368 maritime_pine|10v1|BX000624_P1 1908 5142 217 93.5 globlastp WNU17_H369 pine|10v2|AW010211_P1 1909 5142 217 93.5 globlastp WNU17_H370 pseudoroegneria|gb167|FF362940 1910 5138 217 93.5 globlastp WNU17_H371 rye|12v1|DRR001012.127556 1911 5143 217 93.5 globlastp WNU17_H372 sequoia|10v1|SRR065044S0003204 1912 5144 217 93.5 globlastp WNU17_H373 vinca|11v1|SRR098690X184197 1913 5145 217 93.5 globlastp WNU17_H374 wheat|12v3|BM134951 1914 5138 217 93.5 globlastp WNU17_H375 wheat|12v3|BM138072 1915 5138 217 93.5 globlastp WNU17_H376 cedrus|11v1|SRR065007X109223_T1 1916 5146 217 93.46 glotblastn WNU17_H377 gossypium_raimondii|12v1|SRR032881.293179_T1 1917 5147 217 92.81 glotblastn WNU17_H378 podocarpus|10v1|SRR065014S0040197_T1 1918 5148 217 92.81 glotblastn WNU17_H379 oat|11v1|GO589794_P1 1919 5149 217 92.8 globlastp WNU17_H380 platanus|11v1|SRR096786X128074_P1 1920 5150 217 92.8 globlastp WNU17_H381 rhizophora|10v1|SRR005792S0000964 1921 5151 217 92.8 globlastp WNU17_H382 ceratodon|10v1|SRR074890S0015879_P1 1922 5152 217 92.3 globlastp WNU17_H383 cephalotaxus|11v1|SRR064395X305668_P1 1923 5153 217 92.2 globlastp WNU17_H384 sequoia|10v1|SRR065044S0044135 1924 5154 217 92.2 globlastp WNU17_H385 distylium|11v1|SRR065077X110866_T1 1925 5155 217 92.16 glotblastn WNU17_H386 pteridium|11v1|SRR043594X100139 1926 5156 217 92.16 glotblastn WNU17_H387 cryptomeria|gb166|BY887735_P1 1927 5157 217 91.5 globlastp WNU17_H388 spruce|11v1|CO207826 1928 5158 217 91.5 glotblastn WNU17_H389 hornbeam|12v1|SRR364455.106790_T1 1929 — 217 91.5 glotblastn WNU17_H390 b_juncea|12v1|E6ANDIZ01A0KI8_P1 1930 5159 217 90.8 globlastp WNU17_H391 epimedium|11v1|SRR013505.12485_P1 1931 5160 217 90.8 globlastp WNU17_H392 fagopyrum|11v1|SRR063689X102345_P1 1932 5161 217 90.8 globlastp WNU17_H393 rhizophora|10v1|SRR005792S0000918 1933 5162 217 90.8 globlastp WNU17_H394 physcomitrella|10v1|AW599579_P1 1934 5163 217 90.4 globlastp WNU17_H395 physcomitrella|10v1|BJ941521_P1 1935 5164 217 90.4 globlastp WNU17_H396 ceratodon|10v1|SRR074890S0028051_P1 1936 5165 217 89.9 globlastp WNU17_H397 fern|gb171|DK943806_P1 1937 5166 217 89.8 globlastp WNU17_H398 fraxinus|11v1|SRR058827.161949_T1 1938 5167 217 89.54 glotblastn WNU17_H399 apple|11v1|CN491361_P1 1939 5168 217 89.5 globlastp WNU17_H400 eschscholzia|11v1|SRR014116.76220_P1 1940 5169 217 89.5 globlastp WNU17_H401 vinca|11v1|SRR098690X151645 1941 5170 217 89.5 globlastp WNU17_H402 marchantia|gb166|C96568_P1 1942 5171 217 89.2 globlastp WNU17_H403 pteridium|11v1|SRR043594X104315 1943 5172 217 89.2 globlastp WNU17_H404 arnica|11v1|SRR099034X105698_P1 1944 5173 217 88.9 globlastp WNU17_H405 clementine|11v1|BQ624371_P1 1945 5174 217 88.9 globlastp WNU17_H406 orange|11v1|BQ624371_P1 1946 5174 217 88.9 globlastp WNU17_H407 banana|12v1|MAGEN2012013021_P1 1947 5175 217 88.2 globlastp WNU17_H408 radish|gb164|EV540304 1948 5176 217 88.2 globlastp WNU17_H409 cirsium|11v1|SRR346952.1008500_P1 1949 5177 217 87.6 globlastp WNU17_H410 phyla|11v2|SRR099035X34188_T1 1950 5178 217 87.58 glotblastn WNU17_H411 ceratodon|10v1|AW086960_P1 1951 5179 217 87.3 globlastp WNU17_H412 leymus|gb166|CN466070_P1 1952 5180 217 86.5 globlastp WNU17_H413 primula|11v1|SRR098679X173238_T1 1953 5181 217 86.27 glotblastn WNU17_H414 onion|12v1|SRR073446X111061D1_T1 1954 5182 217 85.62 glotblastn WNU17_H415 bupleurum|11v1|SRR301254.121896_P1 1955 5183 217 85.6 globlastp WNU17_H416 beech|11v1|SRR006293.31159_P1 1956 5184 217 85 globlastp WNU17_H417 centaurea|11v1|EH741113_T1 1957 5185 217 84.97 glotblastn WNU17_H418 cyamopsis|10v1|EG987548_P1 1958 5186 217 83.8 globlastp WNU17_H419 pteridium|11v1|SRR043594X722320 1959 5187 217 83.7 globlastp WNU17_H420 pea|11v1|SRR176797X108079_T1 1960 5188 217 83.66 glotblastn WNU17_H421 poppy|11v1|SRR096789.508923_T1 1961 5189 217 83.66 glotblastn WNU17_H422 hornbeam|12v1|SRR364455.129906_P1 1962 5190 217 83.5 globlastp WNU17_H423 safflower|gb162|EL387319 1963 5191 217 83.1 globlastp WNU17_H424 scabiosa|11v1|SRR063723X128201 1964 5192 217 83.1 globlastp WNU17_H448 prunus_mume|13v1|CB822666_P1 1965 5193 217 82.4 globlastp WNU17_H449 volvox|12v1|FD826225_P1 1966 5194 217 82.4 globlastp WNU17_H425 bruguiera|gb166|BP941025_P1 1967 5195 217 82.4 globlastp WNU17_H426 cannabis|12v1|SOLX00044970_P1 1968 5196 217 82.4 globlastp WNU17_H427 volvox|gb1462|AW772936 1969 5194 217 82.4 globlastp WNU17_H428 chlamydomonas|gb162|AW772935_P1 1970 5197 217 81.8 globlastp WNU17_H429 lolium|10v1|AU246696_P1 1971 5198 217 81.7 globlastp WNU17_H430 avocado|10v1|CK749343_T1 1972 5199 217 81.05 glotblastn WNU17_H431 onion|12v1|SRR073446X105209D1_P1 1973 5200 217 80.4 globlastp WNU17_H432 pine|10v2|SRR036960S0414459_T1 1974 5201 217 80.39 glotblastn WNU18_H1 pseudoroegneria|gb167|FF343597 1975 218 218 100 globlastp WNU18_H2 rye|12v1|BE586989 1976 218 218 100 globlastp WNU18_H3 rye|12v1|BE705680 1977 218 218 100 globlastp WNU18_H4 rye|12v1|DRR001012.106515 1978 218 218 100 globlastp WNU18_H5 wheat|12v3|BE404152 1979 218 218 100 globlastp WNU18_H6 brachypodium|12v1|BRADI4G26140_P1 1980 5202 218 96.6 globlastp WNU18_H7 fescue|gb161|DT686090_P1 1981 5203 218 96 globlastp WNU18_H8 lolium|10v1|AU246279_P1 1982 5203 218 96 globlastp WNU18_H9 oat|11v1|GO583146_P1 1983 5204 218 96 globlastp WNU18_H10 oat|11v1|GO587032_P1 1984 5204 218 96 globlastp WNU18_H11 rye|12v1|DRR001012.124006 1985 5205 218 96 globlastp WNU18_H12 barley|12v1|BI959091_P1 1986 5206 218 95.3 globlastp WNU18_H13 foxtail_millet|11v3|PHY7SI026958M_P1 1987 5207 218 95.3 globlastp WNU18_H14 wheat|12v3|BE405456 1988 5206 218 95.3 globlastp WNU18_H15 foxtail_millet|11v3|PHY7SI011704M_P1 1989 5208 218 94.6 globlastp WNU18_H16 millet|10v1|PMSLX0000156D2_P1 1990 5209 218 94.6 globlastp WNU18_H17 millet|10v1|PMSLX0033210_P1 1991 5208 218 94.6 globlastp WNU18_H18 rice|11v1|BE039864 1992 5210 218 94 globlastp WNU18_H19 rice|11v1|RICRPSAAA 1993 5210 218 94 globlastp WNU18_H20 rice|11v1|BI808225 1994 5211 218 93.96 glotblastn WNU18_H21 brachypodium|12v1|BRADI4G43980_P1 1995 5212 218 93.3 globlastp WNU18_H22 maize|10v1|AI920628_P1 1996 5213 218 93.3 globlastp WNU18_H23 oat|11v1|GO587074_P1 1997 5214 218 93.3 globlastp WNU18_H24 sorghum|12v1|SB08G001870 1998 5215 218 93.3 globlastp WNU18_H40 switchgrass|12v1|FE642069_P1 1999 5216 218 92.6 globlastp WNU18_H41 switchgrass|12v1|FL740608_P1 2000 5216 218 92.6 globlastp WNU18_H25 sorghum|12v1|SB05G001680 2001 5217 218 92.6 globlastp WNU18_H26 sugarcane|10v1|BQ536327 2002 5218 218 92.6 globlastp WNU18_H27 sugarcane|10v1|CA066765 2003 5219 218 92.6 globlastp WNU18_H28 switchgrass|gb167|DN140806 2004 5216 218 92.6 globlastp WNU18_H29 switchgrass|gb167|FE642069 2005 5216 218 92.6 globlastp WNU18_H30 millet|10v1|EVO454PM242725_P1 2006 5220 218 91.9 globlastp WNU18_H42 switchgrass|12v1|DN147240_P1 2007 5221 218 91.3 globlastp WNU18_H31 cenchrus|gb166|EB657189_P1 2008 5222 218 91.3 globlastp WNU18_H32 maize|10v1|AI395919_P1 2009 5223 218 91.3 globlastp WNU18_H33 switchgrass|gb167|DN147240 2010 5221 218 91.3 globlastp WNU18_H34 switchgrass|gb167|FL824347 2011 5221 218 91.3 globlastp WNU18_H35 maize|10v1|AW126613_T1 2012 5224 218 89.26 glotblastn WNU18_H36 maize|10v1|AW146945_P1 2013 5225 218 86.9 globlastp WNU18_H37 wheat|12v3|CA617476 2014 5226 218 85.91 glotblastn WNU18_H38 cynodon|10v1|ES301273_P1 2015 5227 218 81.9 globlastp WNU18_H39 fescue|gb161|CK801591_P1 2016 5228 218 80 globlastp WNU19_H1 wheat|12v3|BE403638 2017 5229 219 99.9 globlastp WNU19_H2 wheat|12v3|BE399910 2018 5230 219 99.8 globlastp WNU19_H3 rye|12v1|DRR001012.138836 2019 5231 219 99.64 glotblastn WNU19_H4 rye|12v1|DRR001012.148210 2020 5232 219 99.5 globlastp WNU19_H5 wheat|12v3|BE400773 2021 5233 219 99.5 globlastp WNU19_H6 wheat|12v3|BE400818 2022 5234 219 99.4 globlastp WNU19_H7 wheat|12v3|BQ236190 2023 5235 219 99.4 globlastp WNU19_H8 wheat|12v3|BF428831 2024 5236 219 99.3 globlastp WNU19_H9 wheat|12v3|BE400787 2025 5237 219 99.2 globlastp WNU19_H10 wheat|12v3|BE412230 2026 5238 219 98.8 globlastp WNU19_H11 wheat|12v3|BE637890 2027 5239 219 98.7 glotblastn WNU19_H12 rye|12v1|BE495456 2028 5240 219 98.6 globlastp WNU19_H13 rye|12v1|DRR001012.102874 2029 5240 219 98.6 globlastp WNU19_H14 wheat|12v3|BE402187 2030 5240 219 98.6 globlastp WNU19_H15 wheat|12v3|BE591621 2031 5240 219 98.6 globlastp WNU19_H16 wheat|12v3|BE400982 2032 5241 219 98.5 globlastp WNU19_H17 rye|12v1|DRR001012.102774 2033 5242 219 98.46 glotblastn WNU19_H18 rye|12v1|DRR001012.106463 2034 5243 219 98.46 glotblastn WNU19_H19 barley|12v1|BE412416_P1 2035 5244 219 96.8 globlastp WNU19_H20 brachypodium|12v1|BRADI3G44480_P1 2036 5245 219 96.8 globlastp WNU19_H21 brachypodium|12v1|BRADI3G44160_P1 2037 5246 219 96.7 globlastp WNU19_H22 wheat|12v3|BE400209 2038 5247 219 95.4 globlastp WNU19_H23 brachypodium|12v1|BRADI2G45070_P1 2039 5248 219 94.9 globlastp WNU19_H24 oat|11v1|GO583982_P1 2040 5249 219 94.9 globlastp WNU19_H25 oat|11v1|GO586975_P1 2041 5249 219 94.9 globlastp WNU19_H26 rice|11v1|AA749896 2042 5250 219 94.5 globlastp WNU19_H27 rye|12v1|DRR001012.103583 2043 5251 219 94.42 glotblastn WNU19_H267 switchgrass|12v1|FE604024_P1 2044 5252 219 94.4 globlastp WNU19_H28 foxtail_millet|11v3|EC612202_P1 2045 5253 219 94.4 globlastp WNU19_H29 foxtail_millet|11v3|PHY7SI020903M_P1 2046 5253 219 94.4 globlastp WNU19_H268 switchgrass|12v1|DN151890_P1 2047 5254 219 94.3 globlastp WNU19_H30 switchgrass|gb167|DN151890 2048 5254 219 94.3 globlastp WNU19_H31 rice|11v1|AA753882 2049 5255 219 94.2 globlastp WNU19_H32 cenchrus|gb166|BM084104_P1 2050 5256 219 94.1 globlastp WNU19_H33 millet|10v1|EVO454PM000899_T1 2051 5257 219 94.07 glotblastn WNU19_H34 sorghum|12v1|SB03G034200 2052 5258 219 94 globlastp WNU19_H35 sorghum|12v1|SB01G002040 2053 5259 219 93.95 glotblastn WNU19_H36 rice|11v1|CK032966 2054 5260 219 93.85 glotblastn WNU19_H37 maize|10v1|AI615128_P1 2055 5261 219 93.7 globlastp WNU19_H38 maize|10v1|AI438426_P1 2056 5262 219 93.6 globlastp WNU19_H39 maize|10v1|BE511139_P1 2057 5262 219 93.6 globlastp WNU19_H40 maize|10v1|AI881430_P1 2058 5263 219 93.5 globlastp WNU19_H41 wheat|12v3|BJ244184 2059 5264 219 93.2 globlastp WNU19_H269 zostera|12v1|AM766155_P1 2060 5265 219 93.1 globlastp WNU19_H42 zostera|10v1|AM766155 2061 5265 219 93.1 globlastp WNU19_H43 oak|10v1|CU640356_P1 2062 5266 219 92.9 globlastp WNU19_H44 apple|11v1|CN544862_T1 2063 5267 219 92.88 glotblastn WNU19_H270 nicotiana_benthamiana|12v1|BP748244_P1 2064 5268 219 92.8 globlastp WNU19_H45 clementine|11v1|BE208967_P1 2065 5269 219 92.8 globlastp WNU19_H46 orange|11v1|BE208967_P1 2065 5269 219 92.8 globlastp WNU19_H47 gossypium_raimondii|12v1|BF268145_P1 2066 5270 219 92.8 globlastp WNU19_H48 sugarcane|10v1|BQ535682 2067 5271 219 92.8 globlastp WNU19_H271 castorbean|12v1|T15194_P1 2068 5272 219 92.6 globlastp WNU19_H49 aquilegia|10v2|DT751509_P1 2069 5273 219 92.6 globlastp WNU19_H51 cotton|11v1|BF268145_P1 2070 5274 219 92.6 globlastp WNU19_H52 kiwi|gb166|FG397283_P1 2071 5275 219 92.6 globlastp WNU19_H53 kiwi|gb166|FG404148_P1 2072 5276 219 92.6 globlastp WNU19_H54 sequoia|10v1|SRR065044S0011432XX1 2073 5277 219 92.53 glotblastn WNU19_H55 blueberry|12v1|SRR353282X12615D1_P1 2074 5278 219 92.5 globlastp WNU19_H56 cacao|10v1|CA795785_P1 2075 5279 219 92.5 globlastp WNU19_H57 tripterygium|11v1|SRR098677X100553 2076 5280 219 92.5 globlastp WNU19_H272 castorbean|12v1|EE255306_T1 2077 5281 219 92.41 glotblastn WNU19_H273 prunus_mume|13v1|BU040103_P1 2078 5282 219 92.4 globlastp WNU19_H58 blueberry|12v1|SRR353282X101483D1_P1 2079 5283 219 92.4 globlastp WNU19_H59 castorbean|11v1|EE255306 2080 5284 219 92.4 globlastp WNU19_H60 cotton|11v1|AI726506_P1 2081 5285 219 92.4 globlastp WNU19_H61 cotton|11v1|CO080174_P1 2082 5286 219 92.4 globlastp WNU19_H62 gossypium_raimondii|12v1|AI054588_P1 2083 5285 219 92.4 globlastp WNU19_H63 tripterygium|11v1|SRR098677X100942 2084 5287 219 92.4 globlastp WNU19_H64 chelidonium|11v1|SRR084752X101391_P1 2085 5288 219 92.3 globlastp WNU19_H65 chestnut|gb170|SRR006295S0000411_P1 2086 5289 219 92.3 globlastp WNU19_H66 cotton|11v1|BG442749_P1 2087 5290 219 92.3 globlastp WNU19_H67 cucumber|09v1|DN910064_P1 2088 5291 219 92.3 globlastp WNU19_H68 eucalyptus|11v2|CD668782_P1 2089 5292 219 92.3 globlastp WNU19_H69 maritime_pine|10v1|BX250736_P1 2090 5293 219 92.3 globlastp WNU19_H70 beech|11v1|SRR006293.21436_T1 2091 5294 219 92.29 glotblastn WNU19_H71 banana|12v1|MAGEN2012002315_P1 2092 5295 219 92.2 globlastp WNU19_H72 cotton|11v1|AI054588_P1 2093 5296 219 92.2 globlastp WNU19_H73 medicago|12v1|AW256374_P1 2094 5297 219 92.2 globlastp WNU19_H74 melon|10v1|DV631712_P1 2095 5298 219 92.2 globlastp WNU19_H75 oil_palm|11v1|SRR190698.127955_P1 2096 5299 219 92.2 globlastp WNU19_H76 watermelon|11v1|VMEL00557738492956 2097 5300 219 92.2 globlastp WNU19_H77 sequoia|10v1|SRR065044S0006876 2098 5301 219 92.17 glotblastn WNU19_H78 coffea|10v1|DV665586_P1 2099 5302 219 92.1 globlastp WNU19_H79 gossypium_raimondii|12v1|AI728565_P1 2100 5303 219 92.1 globlastp WNU19_H80 pepper|12v1|BM063010_P1 2101 5304 219 92.1 globlastp WNU19_H81 phyla|11v2|SRR099035X100521XX1_P1 2102 5305 219 92.1 globlastp WNU19_H82 plantago|11v2|SRR066373X1002_P1 2103 5306 219 92.1 globlastp WNU19_H83 poplar|10v1|AI165397 2104 5307 219 92.1 globlastp WNU19_H83 poplar|13v1|AI165397_P1 2105 5308 219 92.1 globlastp WNU19_H84 prunus|10v1|BU040103 2106 5309 219 92.1 globlastp WNU19_H85 soybean|11v1|GLYMA08G18110 2107 5310 219 92.1 globlastp WNU19_H85 soybean|12v1|GLYMA08G18110_P1 2108 5310 219 92.1 globlastp WNU19_H86 spruce|11v1|ES227777 2109 5311 219 92.1 globlastp WNU19_H87 watermelon|11v1|CK755729 2110 5312 219 92.1 globlastp WNU19_H88 castorbean|11v1|RCPRD038497 2111 5313 219 92.05 glotblastn WNU19_H89 euonymus|11v1|SRR070038X103715_T1 2112 5314 219 91.93 glotblastn WNU19_H274 bean|12v2|CA898094_P1 2113 5315 219 91.9 globlastp WNU19_H90 banana|12v1|ES433164_P1 2114 5316 219 91.9 globlastp WNU19_H92 cassava|09v1|CK643184_P1 2115 5317 219 91.9 globlastp WNU19_H93 maritime_pine|10v1|AL751264_P1 2116 5318 219 91.9 globlastp WNU19_H94 poplar|10v1|BU822969 2117 5319 219 91.9 globlastp WNU19_H94 poplar|13v1|BU822969_P1 2118 5319 219 91.9 globlastp WNU19_H95 potato|10v1|AJ235757_P1 2119 5320 219 91.9 globlastp WNU19_H96 solanum_phureja|09v1|SPHAJ235757 2120 5321 219 91.9 globlastp WNU19_H97 soybean|11v1|GLYMA15G40860 2121 5322 219 91.9 globlastp WNU19_H97 soybean|12v1|GLYMA15G40860_P1 2122 5322 219 91.9 globlastp WNU19_H98 switchgrass|gb167|DN142408 2123 5323 219 91.9 globlastp WNU19_H105 poplar|13v1|BI120895_P1 2124 5324 219 91.9 globlastp WNU19_H99 pine|10v2|BE123819_T1 2125 5325 219 91.83 glotblastn WNU19_H100 cotton|11v1|EX170767_T1 2126 5326 219 91.81 glotblastn WNU19_H101 cassava|09v1|CK644865_P1 2127 5327 219 91.8 globlastp WNU19_H102 cowpea|12v1|FC459752_P1 2128 5328 219 91.8 globlastp WNU19_H103 oil_palm|11v1|EL682836_P1 2129 5329 219 91.8 globlastp WNU19_H104 peanut|10v1|ES709584_P1 2130 5330 219 91.8 globlastp WNU19_H105 poplar|10v1|BI120895 2131 5331 219 91.8 globlastp WNU19_H106 prunus|10v1|BU040347 2132 5332 219 91.8 globlastp WNU19_H107 strawberry|11v1|AF041392 2133 5333 219 91.8 globlastp WNU19_H108 tabernaemontana|11v1|SRR098689X100806 2134 5334 219 91.8 globlastp WNU19_H109 taxus|10v1|SRR032523S0000905 2135 5335 219 91.8 globlastp WNU19_H275 olea|13v1|SRR014463X19360D1_P1 2136 5336 219 91.7 globlastp WNU19_H110 arnica|11v1|SRR099034X100223_P1 2137 5337 219 91.7 globlastp WNU19_H111 cycas|gb166|CB093374_P1 2138 5338 219 91.7 globlastp WNU19_H112 eschscholzia|11v1|CD481525_T1 2139 5339 219 91.7 glotblastn WNU19_H113 lettuce|12v1|DW044734_P1 2140 5340 219 91.7 globlastp WNU19_H114 medicago|12v1|AW698719_P1 2141 5341 219 91.7 globlastp WNU19_H115 sciadopitys|10v1|SRR065035S0002676 2142 5342 219 91.7 globlastp WNU19_H116 tomato|11v1|AJ235757 2143 5343 219 91.7 globlastp WNU19_H276 chickpea|13v2|FL512382_P1 2144 5344 219 91.6 globlastp WNU19_H277 zostera|12v1|SRR057351X110689D1_P1 2145 5345 219 91.6 globlastp WNU19_H117 ambrosia|11v1|SRR346935.101423_P1 2146 5346 219 91.6 globlastp WNU19_H118 amorphophallus|11v2|SRR089351X109177_P1 2147 5347 219 91.6 globlastp WNU19_H119 cannabis|12v1|GR220889_P1 2148 5348 219 91.6 globlastp WNU19_H120 podocarpus|10v1|SRR065014S0000383_P1 2149 5349 219 91.6 globlastp WNU19_H121 poppy|11v1|SRR030259.101698 2150 5350 219 91.6 globlastp WNU19_H122 rose|12v1|BQ105854_P1 2151 5351 219 91.6 globlastp WNU19_H123 sunflower|12v1|DY921242 2152 5352 219 91.6 globlastp WNU19_H124 vinca|11v1|SRR098690X104327 2153 5353 219 91.6 globlastp WNU19_H125 zostera|10v1|SRR057351S0005594 2154 5345 219 91.6 globlastp WNU19_H278 chickpea|13v2|FL512400_P1 2155 5354 219 91.5 globlastp WNU19_H279 chickpea|13v2|GR913128_P1 2156 5354 219 91.5 globlastp WNU19_H280 chickpea|13v2|GR915293_P1 2157 5354 219 91.5 globlastp WNU19_H281 olea|13v1|SRR014463X10479D1_P1 2158 5355 219 91.5 globlastp WNU19_H282 olea|13v1|SRR014463X11586D1_P1 2159 5355 219 91.5 globlastp WNU19_H126 amsonia|11v1|SRR098688X106109_P1 2160 5356 219 91.5 globlastp WNU19_H127 catharanthus|11v1|EG555169_P1 2161 5357 219 91.5 globlastp WNU19_H128 chickpea|11v1|GR407290XX1 2162 5354 219 91.5 globlastp WNU19_H128 chickpea|13v2|GR407290_P1 2163 5354 219 91.5 globlastp WNU19_H129 clementine|11v1|CB250306_P1 2164 5358 219 91.5 globlastp WNU19_H130 distylium|11v1|SRR065077X10471_P1 2165 5359 219 91.5 globlastp WNU19_H131 euphorbia|11v1|SRR098678X100925_P1 2166 5360 219 91.5 globlastp WNU19_H132 orange|11v1|CB250306_P1 2167 5361 219 91.5 globlastp WNU19_H133 poppy|11v1|SRR030259.104984XX2_P1 2168 5362 219 91.5 globlastp WNU19_H134 pseudotsuga|10v1|SRR065119S0000457 2169 5363 219 91.5 globlastp WNU19_H135 sunflower|12v1|BU671851 2170 5364 219 91.5 globlastp WNU19_H136 trigonella|11v1|SRR066194X180483 2171 5365 219 91.5 globlastp WNU19_H137 vinca|11v1|SRR098690X101897 2172 5366 219 91.5 globlastp WNU19_H138 watermelon|11v1|CK765820 2173 5367 219 91.5 globlastp WNU19_H139 artemisia|10v1|EY033582_T1 2174 5368 219 91.46 glotblastn WNU19_H140 cephalotaxus|11v1|SRR064395X100945_T1 2175 5369 219 91.46 glotblastn WNU19_H141 trigonella|11v1|SRR066194X100299 2176 5370 219 91.46 glotblastn WNU19_H142 pigeonpea|11v1|GR467899_P1 2177 5371 219 91.4 globlastp WNU19_H283 chickpea|13v2|GR916248_T1 2178 5372 219 91.34 glotblastn WNU19_H284 chickpea|13v2|GR401562_P1 2179 5373 219 91.3 globlastp WNU19_H285 monkeyflower|12v1|DV205820_P1 2180 5374 219 91.3 globlastp WNU19_H143 euonymus|11v1|SRR070038X10546_P1 2181 5375 219 91.3 globlastp WNU19_H144 grape|11v1|GSVIVT01020404001_P1 2182 5376 219 91.3 globlastp WNU19_H145 monkeyflower|10v1|DV205820 2183 5374 219 91.3 globlastp WNU19_H146 poppy|11v1|FE967696_P1 2184 5377 219 91.3 globlastp WNU19_H147 amorphophallus|11v2|SRR089351X105225_T1 2185 5378 219 91.22 glotblastn WNU19_H148 centaurea|11v1|EH762970_T1 2186 5379 219 91.22 glotblastn WNU19_H149 poppy|11v1|SRR030259.104501_T1 2187 5380 219 91.22 glotblastn WNU19_H150 sunflower|12v1|DY907212 2188 5381 219 91.22 glotblastn WNU19_H151 aquilegia|10v2|DR917334_P1 2189 5382 219 91.2 globlastp WNU19_H152 arabidopsis_lyrata|09v1|JGIAL005090_P1 2190 5383 219 91.2 globlastp WNU19_H153 b_rapa|11v1|BG544120_P1 2191 5384 219 91.2 globlastp WNU19_H154 poppy|11v1|FE967193_P1 2192 5385 219 91.2 globlastp WNU19_H155 poppy|11v1|SRR030264.247963_P1 2193 5386 219 91.2 globlastp WNU19_H156 poppy|11v1|SRR030266.52245_P1 2194 5387 219 91.2 globlastp WNU19_H157 rye|12v1|DRR001012.110872 2195 5388 219 91.2 globlastp WNU19_H158 valeriana|11v1|SRR099039X100187 2196 5389 219 91.2 globlastp WNU19_H159 abies|11v2|SRR098676X100456_P1 2197 5390 219 91.1 globlastp WNU19_H160 canola|11v1|EV010917_P1 2198 5391 219 91.1 globlastp WNU19_H161 cedrus|11v1|SRR065007X100657_P1 2199 5392 219 91.1 globlastp WNU19_H162 oil_palm|11v1|SRR190698.167621XX1_P1 2200 5393 219 91.1 globlastp WNU19_H163 poppy|11v1|SRR030259.122349_T1 2201 5394 219 91.1 glotblastn WNU19_H164 sunflower|12v1|DY906203 2202 5395 219 91.1 globlastp WNU19_H165 canola|11v1|CN734558_P1 2203 5396 219 91 globlastp WNU19_H166 canola|11v1|DY010660_P1 2204 5397 219 91 globlastp WNU19_H167 grape|11v1|GSVIVT01020405001_T1 2205 5398 219 91 glotblastn WNU19_H168 thellungiella_halophilum|11v1|DN774158 2206 5399 219 91 globlastp WNU19_H169 dandelion|10v1|DY819449_T1 2207 5400 219 90.98 glotblastn WNU19_H170 poppy|11v1|SRR030259.293113_T1 2208 5401 219 90.98 glotblastn WNU19_H171 amorphophallus|11v2|SRR089351X101426_P1 2209 5402 219 90.9 globlastp WNU19_H172 canola|11v1|DY003089_P1 2210 5403 219 90.9 globlastp WNU19_H173 gossypium_raimondii|12v1|SRR032367.160520_P1 2211 5404 219 90.9 globlastp WNU19_H174 silene|11v1|GH294619 2212 5405 219 90.9 globlastp WNU19_H175 phalaenopsis|11v1|CB033076XX1_T1 2213 5406 219 90.87 glotblastn WNU19_H176 aquilegia|10v2|DR944068_P1 2214 5407 219 90.8 globlastp WNU19_H177 b_rapa|11v1|BG544324_T1 2215 5408 219 90.77 glotblastn WNU19_H178 b_rapa|11v1|CA992361_T1 2216 5409 219 90.75 glotblastn WNU19_H179 canola|11v1|EE451187_T1 2217 5410 219 90.75 glotblastn WNU19_H180 canola|11v1|SRR019559.14594_T1 2218 5411 219 90.75 glotblastn WNU19_H181 pine|10v2|SRR036960S0020056_T1 2219 5412 219 90.75 glotblastn WNU19_H182 amborella|12v3|CK743454_P1 2220 5413 219 90.7 globlastp WNU19_H183 arabidopsis|10v1|AT1G56070_P1 2221 5414 219 90.7 globlastp WNU19_H184 arnica|11v1|SRR099034X10148_P1 2222 5415 219 90.7 globlastp WNU19_H185 b_rapa|11v1|CD816353_P1 2223 5416 219 90.7 globlastp WNU19_H186 flaveria|11v1|SRR149229.209223_P1 2224 5417 219 90.7 globlastp WNU19_H187 podocarpus|10v1|SRR065014S0003736_P1 2225 5418 219 90.7 globlastp WNU19_H188 ambrosia|11v1|SRR346935.102533_T1 2226 5419 219 90.63 glotblastn WNU19_H189 flaveria|11v1|SRR149229.19714_T1 2227 5420 219 90.63 glotblastn WNU19_H190 beet|12v1|AW777202_P1 2228 5421 219 90.6 globlastp WNU19_H191 pigeonpea|11v1|SRR054580X127546_P1 2229 5422 219 90.6 globlastp WNU19_H192 thellungiella_halophilum|11v1|EHPRD038761 2230 5423 219 90.53 glotblastn WNU19_H193 gnetum|10v1|SRR064399S0000663_T1 2231 5424 219 90.51 glotblastn WNU19_H194 barley|12v1|HV12v1PRD005943_P1 2232 5425 219 90.5 globlastp WNU19_H195 silene|11v1|SRR096785X102916 2233 5426 219 90.5 globlastp WNU19_H286 monkeyflower|12v1|GR149027_P1 2234 5427 219 90.4 globlastp WNU19_H196 amsonia|11v1|SRR098688X10119_P1 2235 5428 219 90.4 globlastp WNU19_H197 eschscholzia|11v1|CD478945_P1 2236 5429 219 90.4 globlastp WNU19_H199 sunflower|12v1|DY932904 2237 5430 219 90.15 glotblastn WNU19_H200 eschscholzia|11v1|CD480167_T1 2238 5431 219 90.04 glotblastn WNU19_H201 lettuce|12v1|DW121631_P1 2239 5432 219 90 globlastp WNU19_H202 thellungiella_parvulum|11v1|DN774158 2240 5433 219 90 globlastp WNU19_H203 rye|12v1|DRR001012.232598 2241 5434 219 89.9 globlastp WNU19_H204 fern|gb171|BP911956_P1 2242 5435 219 89.8 globlastp WNU19_H205 pteridium|11v1|SRR043594X100314 2243 5436 219 89.68 glotblastn WNU19_H206 ceratodon|10v1|SRR074890S0032700_P1 2244 5437 219 89.4 globlastp WNU19_H207 ceratodon|10v1|SRR074890S0044795_P1 2245 5437 219 89.4 globlastp WNU19_H208 ceratodon|10v1|SRR074890S0340761_P1 2246 5437 219 89.4 globlastp WNU19_H209 ceratodon|10v1|SRR074890S0581270_P1 2247 5437 219 89.4 globlastp WNU19_H210 ceratodon|10v1|SRR074891S0000040_P1 2248 5437 219 89.4 globlastp WNU19_H211 phalaenopsis|11v1|CB032840_T1 2249 5438 219 89.32 glotblastn WNU19_H212 apple|11v1|MDP0000362791_P1 2250 5439 219 89.3 globlastp WNU19_H213 rye|12v1|DRR001012.192575 2251 5440 219 89.3 globlastp WNU19_H214 foxtail_millet|11v3|EC612436_T1 2252 5441 219 89.24 glotblastn WNU19_H287 nicotiana_benthamiana|12v1|BP747399_P1 2253 5442 219 89.2 globlastp WNU19_H215 iceplant|gb164|BE033655_P1 2254 5443 219 89.2 globlastp WNU19_H216 physcomitrella|10v1|BJ160823_P1 2255 5444 219 89.2 globlastp WNU19_H217 physcomitrella|10v1|BJ170123_P1 2256 5444 219 89.2 globlastp WNU19_H218 cirsium|11v1|SRR346952.108438_P1 2257 5445 219 89.1 globlastp WNU19_H219 euonymus|11v1|SRR070038X105533_P1 2258 5446 219 89 globlastp WNU19_H220 poppy|11v1|SRR030263.471933_T1 2259 5447 219 88.61 glotblastn WNU19_H221 physcomitrella|10v1|AJ225456_P1 2260 5448 219 88.6 globlastp WNU19_H222 physcomitrella|10v1|AW699268_P1 2261 5448 219 88.6 globlastp WNU19_H223 marchantia|gb166|AU081662_P1 2262 5449 219 88.5 globlastp WNU19_H224 triphysaria|10v1|BE574729 2263 5450 219 88.5 globlastp WNU19_H225 aristolochia|10v1|SRR039082S0012185_P1 2264 5451 219 88.3 globlastp WNU19_H226 thellungiella_parvulum|11v1|EPPRD007851 2265 5452 219 88.2 globlastp WNU19_H227 rye|12v1|BE494935 2266 5453 219 88.02 glotblastn WNU19_H228 rice|11v1|CA758982 2267 5454 219 87.9 globlastp WNU19_H229 b_rapa|11v1|DN960595_T1 2268 5455 219 87.78 glotblastn WNU19_H230 poppy|11v1|SRR030259.100177_T1 2269 5456 219 87.78 glotblastn WNU19_H231 arabidopsis|10v1|AT3G12915_T1 2270 5457 219 87.54 glotblastn WNU19_H232 canola|11v1|EE482007_T1 2271 5458 219 87.29 glotblastn WNU19_H233 arabidopsis_lyrata|09v1|JGIAL009721_P1 2272 5459 219 87.1 globlastp WNU19_H234 flaveria|11v1|SRR149229.311595_P1 2273 5460 219 87 globlastp WNU19_H235 rye|12v1|DRR001012.112903 2274 5461 219 86.95 glotblastn WNU19_H236 millet|10v1|CD726649_P1 2275 5462 219 86.1 globlastp WNU19_H237 rye|12v1|DRR001012.106277 2276 5463 219 86.1 globlastp WNU19_H238 poppy|11v1|SRR030259.124447_T1 2277 5464 219 85.88 glotblastn WNU19_H239 rye|12v1|DRR001012.190424 2278 5465 219 85.53 glotblastn WNU19_H240 pine|10v2|AL751264_P1 2279 5466 219 85.3 globlastp WNU19_H241 millet|10v1|CD726405_T1 2280 5467 219 85.29 glotblastn WNU19_H242 poppy|11v1|SRR030259.104877_P1 2281 5468 219 85.2 globlastp WNU19_H243 canola|11v1|DY030623_P1 2282 5469 219 84.8 globlastp WNU19_H244 cirsium|11v1|SRR346952.122084_T1 2283 5470 219 84.7 glotblastn WNU19_H245 platanus|11v1|SRR096786X102681_P1 2284 5471 219 84.7 globlastp WNU19_H246 rye|12v1|BE495426 2285 5472 219 84.7 glotblastn WNU19_H247 thellungiella_parvulum|11v1|EPCRP021744 2286 5473 219 84.7 globlastp WNU19_H248 sugarcane|10v1|BQ534204 2287 5474 219 84.6 globlastp WNU19_H249 medicago|12v1|AL385115_P1 2288 5475 219 84.5 globlastp WNU19_H250 rye|12v1|DRR001012.119895 2289 5476 219 84.4 globlastp WNU19_H251 aristolochia|10v1|FD748819_P1 2290 5477 219 84.3 globlastp WNU19_H252 pine|10v2|AW290225_T1 2291 5478 219 83.87 glotblastn WNU19_H253 wheat|12v3|CA499280 2292 5479 219 83.87 glotblastn WNU19_H254 cotton|11v1|AI728565_P1 2293 5480 219 83.3 globlastp WNU19_H255 trigonella|11v1|SRR066194X118373 2294 5481 219 83.3 globlastp WNU19_H256 rye|12v1|DRR001012.198013 2295 5482 219 83.06 glotblastn WNU19_H257 cucumber|09v1|CV003974_P1 2296 5483 219 82.8 globlastp WNU19_H258 rye|12v1|BF145953 2297 5484 219 82.21 glotblastn WNU19_H259 canola|11v1|CN731489_T1 2298 5485 219 81.97 glotblastn WNU19_H260 poppy|11v1|SRR030259.106828_P1 2299 5486 219 81.7 globlastp WNU19_H261 poppy|11v1|SRR030259.151268_T1 2300 5487 219 81.61 glotblastn WNU19_H262 pigeonpea|11v1|SRR054580X132043_P1 2301 5488 219 81.5 globlastp WNU19_H263 rye|12v1|BE705036 2302 5489 219 80.8 globlastp WNU19_H288 bean|12v2|SRR090491.1128737_P1 2303 5490 219 80.7 globlastp WNU19_H264 poppy|11v1|SRR030259.110118_T1 2304 5491 219 80.43 glotblastn WNU19_H265 bean|12v1|SRR001335.271437 2305 5492 219 80.2 globlastp WNU19_H266 pteridium|11v1|SRR043594X10372 2306 5493 219 80.07 glotblastn WNU20_H1 wheat|12v3|BE500467 2307 5494 220 99.4 globlastp WNU20_H2 rye|12v1|DRR001012.111146 2308 5495 220 98.9 globlastp WNU20_H3 wheat|12v3|CD902583 2309 5496 220 98.9 globlastp WNU20_H4 wheat|12v3|BE405418 2310 5497 220 98.7 globlastp WNU20_H5 wheat|12v3|CD936120 2311 5498 220 98.7 globlastp WNU20_H6 brachypodium|12v1|BRADI3G42010_P1 2312 5499 220 95.5 globlastp WNU20_H7 oat|11v1|GO590260_P1 2313 5500 220 94.5 globlastp WNU20_H8 rice|11v1|AA749701 2314 5501 220 90.9 globlastp WNU20_H9 sorghum|12v1|SB07G025240 2315 5502 220 89.2 globlastp WNU20_H10 sorghum|12v1|SB02G030270 2316 5503 220 88.9 globlastp WNU20_H11 sugarcane|10v1|BQ533680 2317 5504 220 88.9 globlastp WNU20_H12 foxtail_millet|11v3|PHY7SI029736M_P1 2318 5505 220 88.7 globlastp WNU20_H26 switchgrass|12v1|DN146648_P1 2319 5506 220 88.5 globlastp WNU20_H13 maize|10v1|AI491230_P1 2320 5507 220 88.3 globlastp WNU20_H14 sugarcane|10v1|CA131260 2321 5508 220 88.3 globlastp WNU20_H15 switchgrass|gb167|FL694429 2322 5509 220 88.3 globlastp LYD75_H35 switchgrass|12v1|FE638577_P1 2323 5510 220 87.9 globlastp WNU20_H16 millet|10v1|EVO454PM001616_P1 2324 5511 220 87.9 globlastp WNU20_H17 cenchrus|gb166|EB656001_T1 2325 5512 220 87.23 glotblastn WNU20_H18 rice|11v1|AU082931 2326 5513 220 87 globlastp WNU20_H19 switchgrass|gb167|FE610787 2327 5514 220 80.7 globlastp WNU20_H27 switchgrass|12v1|FE610787_P1 2328 5515 220 80.5 globlastp WNU20_H20 brachypodium|12v1|BRADI1G77290_P1 2329 5516 220 80.5 globlastp WNU20_H21 foxtail_millet|11v3|PHY7SI035565M_P1 2330 5517 220 80.5 globlastp WNU20_H22 rice|11v1|BI796408 2331 5518 220 80.3 globlastp WNU20_H23 sorghum|12v1|SB01G049310 2332 5519 220 80.3 globlastp WNU20_H24 oil_palm|11v1|EL691753_P1 2333 5520 220 80.2 globlastp WNU20_H25 maize|10v1|AW052854_P1 2334 5521 220 80 globlastp WNU22_H2 rye|12v1|DRR001012.160458 2335 5522 222 90.8 globlastp WNU22_H3 oat|11v1|GR353093_P1 2336 5523 222 81.5 globlastp WNU23_H1 barley|12v1|AK367025_P1 2337 5524 223 99.8 globlastp WNU23_H2 rye|12v1|BE586979 2338 5525 223 97.8 globlastp WNU23_H3 wheat|12v3|BE401772 2339 5526 223 97.51 glotblastn WNU23_H4 pseudoroegneria|gb167|FF350262 2340 5527 223 97.5 globlastp WNU23_H5 brachypodium|12v1|BRADI4G27550_P1 2341 5528 223 93.3 globlastp WNU23_H6 oat|11v1|CN814765_P1 2342 5529 223 92.8 globlastp WNU23_H7 sorghum|12v1|SB02G020360 2343 5530 223 82.8 globlastp WNU23_H8 sugarcane|10v1|CA067379 2344 5531 223 81.3 globlastp WNU23_H9 rice|11v1|AA231803 2345 5532 223 81.2 globlastp WNU23_H15 switchgrass|12v1|FE603748_P1 2346 5533 223 80.9 globlastp WNU23_H10 maize|10v1|ZMU66403_P1 2347 5534 223 80.9 globlastp WNU23_H11 switchgrass|gb167|FE603748 2348 5535 223 80.4 globlastp WNU23_H12 maize|10v1|ZMU66404_P1 2349 5536 223 80.2 globlastp WNU23_H13 millet|10v1|EVO454PM003523_P1 2350 5537 223 80.2 globlastp WNU23_H14 foxtail_millet|11v3|EC613874_P1 2351 5538 223 80.1 globlastp WNU25_H1 wheat|12v3|BE399516 2352 224 224 100 globlastp WNU25_H2 rye|12v1|DRR001012.10261 2353 5539 224 99.1 globlastp WNU25_H3 oat|11v1|GO582349_P1 2354 5540 224 97.3 globlastp WNU25_H4 oat|11v1|GO586833_P1 2355 5541 224 97.3 globlastp WNU25_H5 lolium|10v1|AU250680_P1 2356 5542 224 96.4 globlastp WNU25_H6 oat|11v1|GR318164_P1 2357 5543 224 96.4 globlastp WNU25_H7 brachypodium|12v1|BRADI3G60180_P1 2358 5544 224 94.6 globlastp WNU25_H8 cynodon|10v1|ES293470_P1 2359 5545 224 91.1 globlastp WNU25_H9 cenchrus|gb166|EB654878_P1 2360 5546 224 90.2 globlastp WNU25_H10 foxtail_millet|11v3|PHY7SI019343M_P1 2361 5546 224 90.2 globlastp WNU25_H11 millet|10v1|CD726269_P1 2362 5546 224 90.2 globlastp WNU25_H12 millet|10v1|EVO454PM078222_P1 2363 5546 224 90.2 globlastp WNU25_H243 switchgrass|12v1|DN144110_P1 2364 5547 224 89.3 globlastp WNU25_H13 lovegrass|gb167|EH184754_P1 2365 5548 224 89.3 globlastp WNU25_H14 maize|10v1|AI586898_P1 2366 5549 224 89.3 globlastp WNU25_H15 maize|10v1|AI920462_P1 2367 5550 224 89.3 globlastp WNU25_H16 sorghum|12v1|SB04G035260 2368 5551 224 89.3 globlastp WNU25_H17 sugarcane|10v1|CA085045 2369 5551 224 89.3 globlastp WNU25_H18 switchgrass|gb167|DN144110 2370 5547 224 89.3 globlastp WNU25_H19 switchgrass|gb167|FE605308 2371 5552 224 89.3 globlastp WNU25_H244 switchgrass|12v1|FE605308_T1 2372 5553 224 89.29 glotblastn WNU25_H20 barley|12v1|BF621135_P1 2373 5554 224 88.4 globlastp WNU25_H21 foxtail_millet|11v3|EC613076_P1 2374 5555 224 88.4 globlastp WNU25_H22 maize|10v1|AI861705_P1 2375 5555 224 88.4 globlastp WNU25_H23 oat|11v1|GO585912_P1 2376 5556 224 88.4 globlastp WNU25_H24 sorghum|12v1|SB02G022800 2377 5555 224 88.4 globlastp WNU25_H25 sorghum|12v1|SB10G006160 2378 5555 224 88.4 globlastp WNU25_H26 sugarcane|10v1|CA073479 2379 5555 224 88.4 globlastp WNU25_H27 sugarcane|10v1|CA080489 2380 5555 224 88.4 globlastp WNU25_H28 switchgrass|gb167|DN144952 2381 5555 224 88.4 globlastp WNU25_H29 wheat|12v3|CA617426 2382 5557 224 88.4 globlastp WNU25_H245 switchgrass|12v1|DN144952_P1 2383 5558 224 87.5 globlastp WNU25_H30 brachypodium|12v1|BRADI1G46840T2_P1 2384 5559 224 87.5 globlastp WNU25_H31 maize|10v1|AI649449_P1 2385 5560 224 87.5 globlastp WNU25_H32 oat|11v1|GO587688_P1 2386 5561 224 87.5 globlastp WNU25_H33 pseudoroegneria|gb167|FF340444 2387 5562 224 87.5 globlastp WNU25_H34 rice|11v1|BI798607 2388 5563 224 87.5 globlastp WNU25_H35 wheat|12v3|CA484758 2389 5564 224 87.5 globlastp WNU25_H246 switchgrass|12v1|FE598493_P1 2390 5565 224 86.6 globlastp WNU25_H36 brachypodium|12v1|BRADI4G16690T3_P1 2391 5566 224 86.6 globlastp WNU25_H37 rye|12v1|BE587162 2392 5567 224 86.6 globlastp WNU25_H38 rye|12v1|DRR001012.117644 2393 5567 224 86.6 globlastp WNU25_H39 rye|12v1|DRR001012.126188 2394 5567 224 86.6 globlastp WNU25_H40 rye|12v1|DRR001013.116024 2395 5567 224 86.6 globlastp WNU25_H41 switchgrass|gb167|FE598493 2396 5565 224 86.6 globlastp WNU25_H42 wheat|12v3|BE398239 2397 5568 224 86.6 globlastp WNU25_H43 wheat|12v3|BE415850 2398 5568 224 86.6 globlastp WNU25_H247 switchgrass|12v1|FE612122_P1 2399 5569 224 84.8 globlastp WNU25_H248 switchgrass|12v1|FL823395_P1 2400 5570 224 84.8 globlastp WNU25_H44 millet|10v1|EVO454PM026346_P1 2401 5569 224 84.8 globlastp WNU25_H45 switchgrass|gb167|FE612122 2402 5570 224 84.8 globlastp WNU25_H46 thellungiella_parvulum|11v1|EC599854 2403 5571 224 83.93 glotblastn WNU25_H47 foxtail_millet|11v3|PHY7SI023690M_P1 2404 5572 224 83.9 globlastp WNU25_H48 sugarcane|10v1|CA280291 2405 5573 224 83.9 globlastp WNU25_H49 oil_palm|11v1|EL682917_T1 2406 5574 224 83.04 glotblastn WNU25_H50 cenchrus|gb166|EB652816_P1 2407 5575 224 83 globlastp WNU25_H51 oil_palm|11v1|EL683598_P1 2408 5576 224 83 globlastp WNU25_H52 oil_palm|11v1|EL693872_P1 2409 5576 224 83 globlastp WNU25_H53 oil_palm|11v1|SRR190698.190267_P1 2410 5576 224 83 globlastp WNU25_H54 phalaenopsis|11v1|CK856294_P1 2411 5577 224 83 globlastp WNU25_H55 pineapple|10v1|DT336564_P1 2412 5578 224 83 globlastp WNU25_H56 sorghum|12v1|SB09G027930 2413 5579 224 83 globlastp WNU25_H57 tripterygium|11v1|SRR098677X101244 2414 5580 224 83 globlastp WNU25_H58 onion|12v1|SRR073446X10568D1_T1 2415 5581 224 82.14 glotblastn WNU25_H59 ambrosia|11v1|SRR346943.142368_P1 2416 5582 224 82.1 globlastp WNU25_H60 ambrosia|11v1|SRR346943.21771_P1 2417 5582 224 82.1 globlastp WNU25_H61 amorphophallus|11v2|SRR089351X101954_P1 2418 5583 224 82.1 globlastp WNU25_H62 arabidopsis_lyrata|09v1|JGIAL007699_P1 2419 5584 224 82.1 globlastp WNU25_H63 arabidopsis|10v1|AT1G74270_P1 2420 5584 224 82.1 globlastp WNU25_H64 arnica|11v1|SRR099034X108607_P1 2421 5585 224 82.1 globlastp WNU25_H65 banana|12v1|FL646653_P1 2422 5586 224 82.1 globlastp WNU25_H66 banana|12v1|FL657827_P1 2423 5587 224 82.1 globlastp WNU25_H67 banana|12v1|FL658310_P1 2424 5588 224 82.1 globlastp WNU25_H68 brachypodium|12v1|BRADI2G17180_P1 2425 5589 224 82.1 globlastp WNU25_H69 epimedium|11v1|SRR013502.11986_P1 2426 5590 224 82.1 globlastp WNU25_H70 fagopyrum|11v1|SRR063703X132083_P1 2427 5591 224 82.1 globlastp WNU25_H71 flaveria|11v1|SRR149229.210796_P1 2428 5592 224 82.1 globlastp WNU25_H72 oil_palm|11v1|EL681302_P1 2429 5593 224 82.1 globlastp WNU25_H73 oil_palm|11v1|EL690268_P1 2430 5593 224 82.1 globlastp WNU25_H74 oil_palm|11v1|SRR190698.163775_P1 2431 5593 224 82.1 globlastp WNU25_H75 oil_palm|11v1|SRR190698.471823_P1 2432 5593 224 82.1 globlastp WNU25_H76 oil_palm|11v1|SRR190700.314411_P1 2433 5593 224 82.1 globlastp WNU25_H77 onion|12v1|SRR073446X102051D1_P1 2434 5594 224 82.1 globlastp WNU25_H78 primula|11v1|SRR098679X100031_P1 2435 5595 224 82.1 globlastp WNU25_H79 primula|11v1|SRR098679X101714_P1 2436 5595 224 82.1 globlastp WNU25_H80 primula|11v1|SRR098679X121607_P1 2437 5595 224 82.1 globlastp WNU25_H81 primula|11v1|SRR098679X131815_P1 2438 5595 224 82.1 globlastp WNU25_H82 thellungiella_halophilum|11v1|EHJGI11002045 2439 5596 224 82.1 globlastp WNU25_H83 thellungiella_parvulum|11v1|EPCRP000289 2440 5597 224 82.1 globlastp WNU25_H84 b_rapa|11v1|BG545012_T1 2441 5598 224 81.25 glotblastn WNU25_H85 heritiera|10v1|SRR005795S0038179_T1 2442 5599 224 81.25 glotblastn WNU25_H86 primula|11v1|SRR098679X114257_T1 2443 5600 224 81.25 glotblastn WNU25_H87 primula|11v1|SRR098679X130378_T1 2444 5601 224 81.25 glotblastn WNU25_H88 rye|12v1|DRR001013.103374 2445 5602 224 81.25 glotblastn WNU25_H89 thellungiella_halophilum|11v1|EC599854 2446 5603 224 81.25 glotblastn WNU25_H249 zostera|12v1|AM766870_P1 2447 5604 224 81.2 globlastp WNU25_H90 amborella|12v3|FD442449_P1 2448 5605 224 81.2 globlastp WNU25_H91 ambrosia|11v1|SRR346943.215855_P1 2449 5606 224 81.2 globlastp WNU25_H92 amorphophallus|11v2|SRR089351X100036_P1 2450 5607 224 81.2 globlastp WNU25_H93 amsonia|11v1|SRR098688X104552_P1 2451 5608 224 81.2 globlastp WNU25_H94 antirrhinum|gb166|AJ558790_P1 2452 5609 224 81.2 globlastp WNU25_H95 antirrhinum|gb166|AJ559611_P1 2453 5609 224 81.2 globlastp WNU25_H96 aquilegia|10v2|JGIAC007651_P1 2454 5610 224 81.2 globlastp WNU25_H97 arabidopsis_lyrata|09v1|JGIAL000666_P1 2455 5611 224 81.2 globlastp WNU25_H98 arabidopsis|10v1|AT1G07070_P1 2456 5611 224 81.2 globlastp WNU25_H99 b_juncea|12v1|E6ANDIZ01AH3RZ_P1 2457 5612 224 81.2 globlastp WNU25_H100 b_juncea|12v1|E6ANDIZ01AL5IF_P1 2458 5612 224 81.2 globlastp WNU25_H101 b_juncea|12v1|E6ANDIZ01AMZL3_P1 2459 5612 224 81.2 globlastp WNU25_H102 b_juncea|12v1|E6ANDIZ01AZ4GX_P1 2460 5612 224 81.2 globlastp WNU25_H103 b_juncea|12v1|E6ANDIZ01BFBB2_P1 2461 5612 224 81.2 globlastp WNU25_H104 b_juncea|12v1|E6ANDIZ01BGXW0_P1 2462 5613 224 81.2 globlastp WNU25_H105 b_juncea|12v1|E6ANDIZ01C4ROX_P1 2463 5612 224 81.2 globlastp WNU25_H106 b_oleracea|gb161|DY027311_P1 2464 5612 224 81.2 globlastp WNU25_H107 b_oleracea|gb161|DY028809_P1 2465 5612 224 81.2 globlastp WNU25_H108 b_oleracea|gb161|DY029302_P1 2466 5612 224 81.2 globlastp WNU25_H109 b_rapa|11v1|BG544760_P1 2467 5612 224 81.2 globlastp WNU25_H110 b_rapa|11v1|CD822482_P1 2468 5612 224 81.2 globlastp WNU25_H111 banana|12v1|ES432695_P1 2469 5614 224 81.2 globlastp WNU25_H112 beech|11v1|SRR006293.11373_P1 2470 5615 224 81.2 globlastp WNU25_H113 beech|11v1|SRR006293.24985_P1 2471 5616 224 81.2 globlastp WNU25_H114 bruguiera|gb166|BP941824_P1 2472 5617 224 81.2 globlastp WNU25_H115 canola|11v1|CN725900_P1 2473 5612 224 81.2 globlastp WNU25_H116 canola|11v1|CN730046_P1 2474 5612 224 81.2 globlastp WNU25_H117 canola|11v1|CN730557_P1 2475 5612 224 81.2 globlastp WNU25_H118 canola|11v1|CN731259_P1 2476 5612 224 81.2 globlastp WNU25_H119 canola|11v1|CN732999_P1 2477 5612 224 81.2 globlastp WNU25_H120 canola|11v1|SRR019556.44642_P1 2478 5612 224 81.2 globlastp WNU25_H121 cassava|09v1|CK651690_P1 2479 5618 224 81.2 globlastp WNU25_H122 chelidonium|11v1|SRR084752X103833_P1 2480 5619 224 81.2 globlastp WNU25_H123 cleome_spinosa|10v1|GR932649_P1 2481 5620 224 81.2 globlastp WNU25_H124 cleome_spinosa|10v1|SRR015531S0108810_P1 2482 5620 224 81.2 globlastp WNU25_H125 fagopyrum|11v1|SRR063689X106014_P1 2483 5621 224 81.2 globlastp WNU25_H126 fagopyrum|11v1|SRR063689X111531_P1 2484 5622 224 81.2 globlastp WNU25_H127 flaveria|11v1|SRR149229.179279_P1 2485 5623 224 81.2 globlastp WNU25_H128 flaveria|11v1|SRR149232.144363_P1 2486 5623 224 81.2 globlastp WNU25_H129 flaveria|11v1|SRR149232.247406_P1 2487 5623 224 81.2 globlastp WNU25_H130 ipomoea_nil|10v1|BJ558540_P1 2488 5624 224 81.2 globlastp WNU25_H131 lettuce|12v1|DW050731_P1 2489 5625 224 81.2 globlastp WNU25_H132 onion|12v1|BQ579934_P1 2490 5626 224 81.2 globlastp WNU25_H133 poppy|11v1|SRR096789.144347_P1 2491 5619 224 81.2 globlastp WNU25_H134 primula|11v1|SRR098679X10523_P1 2492 5627 224 81.2 globlastp WNU25_H135 primula|11v1|SRR098679X106162_P1 2493 5627 224 81.2 globlastp WNU25_H136 radish|gb164|EV528423 2494 5612 224 81.2 globlastp WNU25_H137 radish|gb164|EV535096 2495 5612 224 81.2 globlastp WNU25_H138 radish|gb164|EV536363 2496 5612 224 81.2 globlastp WNU25_H139 radish|gb164|EV538123 2497 5612 224 81.2 globlastp WNU25_H140 radish|gb164|EV566939 2498 5612 224 81.2 globlastp WNU25_H141 radish|gb164|FD538891 2499 5612 224 81.2 globlastp WNU25_H142 rice|11v1|AU063148 2500 5628 224 81.2 globlastp WNU25_H143 rice|11v1|BE040487 2501 5628 224 81.2 globlastp WNU25_H144 rye|12v1|BE494253 2502 5629 224 81.2 globlastp WNU25_H145 rye|12v1|DRR001012.183966 2503 5630 224 81.2 globlastp WNU25_H146 rye|12v1|DRR001013.308355 2504 5630 224 81.2 globlastp WNU25_H147 tabernaemontana|11v1|SRR098689X128000 2505 5631 224 81.2 globlastp WNU25_H148 zostera|10v1|AM766870 2506 5604 224 81.2 globlastp WNU25_H250 olea|13v1|SRR014463X3883D1_P1 2507 5632 224 80.4 globlastp WNU25_H251 olea|13v1|SRR014464X66765D1_P1 2508 5633 224 80.4 globlastp WNU25_H252 olea|13v1|SRR592583X243645D1_P1 2509 5632 224 80.4 globlastp WNU25_H149 acacia|10v1|FS584555_P1 2510 5634 224 80.4 globlastp WNU25_H150 ambrosia|11v1|GR935755_P1 2511 5635 224 80.4 globlastp WNU25_H151 ambrosia|11v1|SRR346943.114688_P1 2512 5636 224 80.4 globlastp WNU25_H152 antirrhinum|gb166|AJ559172_P1 2513 5637 224 80.4 globlastp WNU25_H153 bruguiera|gb166|BP942309_P1 2514 5638 224 80.4 globlastp WNU25_H154 bupleurum|11v1|FG341999_P1 2515 5639 224 80.4 globlastp WNU25_H155 cannabis|12v1|JK496655_P1 2516 5640 224 80.4 globlastp WNU25_H156 cannabis|12v1|SOLX00016128_P1 2517 5640 224 80.4 globlastp WNU25_H157 canola|11v1|CN730086_P1 2518 5641 224 80.4 globlastp WNU25_H158 cassava|09v1|BM259993_P1 2519 5642 224 80.4 globlastp WNU25_H159 clementine|11v1|BQ622914_P1 2520 5643 224 80.4 globlastp WNU25_H160 cleome_gynandra|10v1|SRR015532S0016650_P1 2521 5644 224 80.4 globlastp WNU25_H161 cleome_spinosa|10v1|SRR015531S0002868_P1 2522 5645 224 80.4 globlastp WNU25_H162 cleome_spinosa|10v1|SRR015531S0012716_P1 2523 5646 224 80.4 globlastp WNU25_H163 cotton|11v1|AI728911_P1 2524 5642 224 80.4 globlastp WNU25_H164 cotton|11v1|BE053043_P1 2525 5642 224 80.4 globlastp WNU25_H165 cotton|11v1|BF275635_P1 2526 5642 224 80.4 globlastp WNU25_H166 cotton|11v1|BG440681_P1 2527 5642 224 80.4 globlastp WNU25_H167 cotton|11v1|CO097269_P1 2528 5642 224 80.4 globlastp WNU25_H168 cotton|11v1|DR452454_P1 2529 5642 224 80.4 globlastp WNU25_H169 epimedium|11v1|SRR013502.14401_P1 2530 5647 224 80.4 globlastp WNU25_H170 eucalyptus|11v2|CT986860_P1 2531 5648 224 80.4 globlastp WNU25_H171 euonymus|11v1|SRR070038X107385_P1 2532 5649 224 80.4 globlastp WNU25_H172 euphorbia|11v1|BP958921_P1 2533 5650 224 80.4 globlastp WNU25_H173 euphorbia|11v1|DV144443_P1 2534 5651 224 80.4 globlastp WNU25_H174 spurge|gb161|DV144443 2534 5651 224 80.4 globlastp WNU25_H175 fagopyrum|11v1|SRR063689X87577_P1 2535 5652 224 80.4 globlastp WNU25_H176 flaveria|11v1|SRR149232.184670XX1_P1 2536 5653 224 80.4 globlastp WNU25_H177 flaveria|11v1|SRR149232.246003_P1 2537 5653 224 80.4 globlastp WNU25_H178 flaveria|11v1|SRR149241.133862_P1 2538 5654 224 80.4 globlastp WNU25_H179 fraxinus|11v1|SRR058827.103553_P1 2539 5632 224 80.4 globlastp WNU25_H180 fraxinus|11v1|SRR058827.11380_P1 2540 5632 224 80.4 globlastp WNU25_H181 fraxinus|11v1|SRR058827.116732_P1 2541 5655 224 80.4 globlastp WNU25_H182 gossypium_raimondii|12v1|AI728911_P1 2542 5642 224 80.4 globlastp WNU25_H183 gossypium_raimondii|12v1|BE053043_P1 2543 5642 224 80.4 globlastp WNU25_H184 gossypium_raimondii|12v1|BF275635_P1 2544 5642 224 80.4 globlastp WNU25_H185 gossypium_raimondii|12v1|BG440681_P1 2545 5642 224 80.4 globlastp WNU25_H186 heritiera|10v1|SRR005794S0005077_P1 2546 5656 224 80.4 globlastp WNU25_H187 hevea|10v1|EC606310_P1 2547 5642 224 80.4 globlastp WNU25_H188 hornbeam|12v1|SRR364455.104699_P1 2548 5657 224 80.4 globlastp WNU25_H189 humulus|11v1|ES655136_P1 2549 5658 224 80.4 globlastp WNU25_H190 humulus|11v1|ES658210_P1 2550 5659 224 80.4 globlastp WNU25_H191 ipomoea_batatas|10v1|BU690618_P1 2551 5660 224 80.4 globlastp WNU25_H192 ipomoea_nil|10v1|BJ562851_P1 2552 5661 224 80.4 globlastp WNU25_H193 kiwi|gb166|FG456793_P1 2553 5662 224 80.4 globlastp WNU25_H194 kiwi|gb166|FG480841_P1 2554 5663 224 80.4 globlastp WNU25_H195 kiwi|gb166|FG499198_P1 2555 5663 224 80.4 globlastp WNU25_H196 lettuce|12v1|DW051774_P1 2556 5664 224 80.4 globlastp WNU25_H197 liquorice|gb171|FS250698_P1 2557 5665 224 80.4 globlastp WNU25_H198 oak|10v1|DN950044_P1 2558 5666 224 80.4 globlastp WNU25_H199 oak|10v1|SRR006307S0004443_P1 2559 5666 224 80.4 globlastp WNU25_H200 olea|11v1|SRR014463.28420 2560 5632 224 80.4 globlastp WNU25_H200 olea|13v1|SRR014463X28420D1_P1 2561 5632 224 80.4 globlastp WNU25_H201 olea|11v1|SRR014463.55804 2562 5667 224 80.4 globlastp WNU25_H201 olea|13v1|SRR014463X55804D1_P1 2563 5632 224 80.4 globlastp WNU25_H202 olea|11v1|SRR014463.6958 2564 5668 224 80.4 globlastp WNU25_H202 olea|13v1|SRR014463X6958D1_P1 2565 5668 224 80.4 globlastp WNU25_H203 onion|12v1|SRR073446X110592D1_P1 2566 5669 224 80.4 globlastp WNU25_H204 onion|12v1|SRR073446X116492D1_P1 2567 5669 224 80.4 globlastp WNU25_H205 onion|12v1|SRR073447X101052D1_P1 2568 5670 224 80.4 globlastp WNU25_H206 orange|11v1|BQ622914_P1 2569 5643 224 80.4 globlastp WNU25_H207 orobanche|10v1|SRR023189S0006021_P1 2570 5671 224 80.4 globlastp WNU25_H208 orobanche|10v1|SRR023189S0033892_P1 2571 5671 224 80.4 globlastp WNU25_H209 papaya|gb165|EX241854_P1 2572 5672 224 80.4 globlastp WNU25_H210 plantago|11v2|SRR066373X102923_P1 2573 5673 224 80.4 globlastp WNU25_H211 plantago|11v2|SRR066373X104364_P1 2574 5674 224 80.4 globlastp WNU25_H212 plantago|11v2|SRR066373X105650_P1 2575 5673 224 80.4 globlastp WNU25_H213 platanus|11v1|SRR096786X100809_P1 2576 5675 224 80.4 globlastp WNU25_H214 platanus|11v1|SRR096786X109435_P1 2577 5676 224 80.4 globlastp WNU25_H215 poplar|10v1|AI166233 2578 5677 224 80.4 globlastp WNU25_H215 poplar|13v1|AI166233_P1 2579 5677 224 80.4 globlastp WNU25_H216 poplar|10v1|BU814801 2580 5678 224 80.4 globlastp WNU25_H216 poplar|13v1|AI161628_P1 2581 5678 224 80.4 globlastp WNU25_H217 poppy|11v1|SRR030259.179909_P1 2582 5679 224 80.4 globlastp WNU25_H218 potato|10v1|AJ489116_P1 2583 5680 224 80.4 globlastp WNU25_H219 rose|12v1|BI977765 2584 5681 224 80.4 globlastp WNU25_H220 scabiosa|11v1|SRR063723X10401 2585 5682 224 80.4 globlastp WNU25_H221 scabiosa|11v1|SRR063723X104236 2586 5682 224 80.4 globlastp WNU25_H222 scabiosa|11v1|SRR063723X104248 2587 5682 224 80.4 globlastp WNU25_H223 sesame|12v1|BU669934 2588 5683 224 80.4 globlastp WNU25_H224 solanum_phureja|09v1|SPHBG126911 2589 5680 224 80.4 globlastp WNU25_H225 strawberry|11v1|CO379975 2590 5684 224 80.4 globlastp WNU25_H226 sunflower|12v1|CD852047 2591 5685 224 80.4 globlastp WNU25_H227 sunflower|12v1|DY930840 2592 5685 224 80.4 globlastp WNU25_H228 sunflower|12v1|EE654475 2593 5685 224 80.4 globlastp WNU25_H229 sunflower|12v1|EL487963 2594 5685 224 80.4 globlastp WNU25_H230 tamarix|gb166|CN605565 2595 5686 224 80.4 globlastp WNU25_H231 thellungiella_parvulum|11v1|BY823299 2596 5687 224 80.4 globlastp WNU25_H232 tobacco|gb162|CV016860 2597 5688 224 80.4 globlastp WNU25_H233 tripterygium|11v1|SRR098677X101214 2598 5689 224 80.4 globlastp WNU25_H234 valeriana|11v1|SRR099039X139272 2599 5690 224 80.4 globlastp WNU25_H235 watermelon|11v1|AM726796 2600 5651 224 80.4 globlastp WNU25_H156 cannabis|12v1|SOLX00016128 2601 — 224 80.4 globlastp WNU25_H236 amborella|12v3|SRR038635.86906_T1 2602 5691 224 80.36 glotblastn WNU25_H237 chelidonium|11v1|SRR084752X110041XX1_T1 2603 5692 224 80.36 glotblastn WNU25_H238 fraxinus|11v1|SRR058827.112628XX1_T1 2604 5693 224 80.36 glotblastn WNU25_H239 onion|12v1|SRR073446X323707D1_T1 2605 5694 224 80.36 glotblastn WNU25_H240 orobanche|10v1|SRR023189S0011510_T1 2606 5695 224 80.36 glotblastn WNU25_H241 tamarix|gb166|EH054247 2607 5696 224 80.36 glotblastn WNU25_H242 tomato|11v1|AF014810 2608 5697 224 80.36 glotblastn WNU26_H1 wheat|12v3|BE406211 2609 5698 225 98.4 globlastp WNU26_H2 rye|12v1|DRR001012.126564 2610 5699 225 96.8 globlastp WNU26_H3 wheat|12v3|BE400479 2611 5700 225 96.8 globlastp WNU26_H4 brachypodium|12v1|BRADI1G14290_P1 2612 5701 225 96 globlastp WNU26_H5 wheat|12v3|BF484088 2613 5702 225 94.4 globlastp WNU26_H24 switchgrass|12v1|FL933393_P1 2614 5703 225 93.7 globlastp WNU26_H6 switchgrass|gb167|DN140893 2615 5703 225 93.7 globlastp WNU26_H7 switchgrass|gb167|FL933393 2616 5703 225 93.7 globlastp WNU26_H25 switchgrass|12v1|DN140893_P1 2617 5704 225 92.9 globlastp WNU26_H8 maize|10v1|AI714588_P1 2618 5705 225 92.9 globlastp WNU26_H9 oat|11v1|CN814979_P1 2619 5706 225 92.9 globlastp WNU26_H10 sorghum|12v1|SB01G014170 2620 5705 225 92.9 globlastp WNU26_H11 sugarcane|10v1|BQ531137 2621 5705 225 92.9 globlastp WNU26_H12 cenchrus|gb166|EB654230_P1 2622 5707 225 92.1 globlastp WNU26_H13 cynodon|10v1|ES292027_P1 2623 5708 225 91.3 globlastp WNU26_H14 foxtail_millet|11v3|PHY7SI038038M_P1 2624 5709 225 91.3 globlastp WNU26_H15 maize|10v1|BG841652_P1 2625 5710 225 91.3 globlastp WNU26_H16 millet|10v1|EVO454PM036675_P1 2626 5711 225 91.3 globlastp WNU26_H17 rice|11v1|AU029299 2627 5712 225 91.3 globlastp WNU26_H18 banana|12v1|BBS2223T3_P1 2628 5713 225 81.7 globlastp WNU26_H19 amorphophallus|11v2|SRR089351X107417_P1 2629 5714 225 81 globlastp WNU26_H20 oil_palm|11v1|EL930593_P1 2630 5715 225 81 globlastp WNU26_H21 aristolochia|10v1|SRR039082S0000924_P1 2631 5716 225 80.2 globlastp WNU26_H22 fescue|gb161|DT702314_P1 2632 5717 225 80.2 globlastp WNU26_H23 ginger|gb164|DY353684_P1 2633 5718 225 80.2 globlastp WNU27_H10 rice|11v1|D45954 2634 5719 226 80.5 globlastp WNU28_H10 rye|12v1|BE587449 2635 5720 227 82.84 glotblastn WNU28_H11 rye|12v1|DRR001012.309192 2636 5721 227 82.84 glotblastn WNU28_H14 wheat|12v3|CA602648 2637 5722 227 82.09 glotblastn WNU28_H18 wheat|12v3|BE445687 2638 5723 227 81 globlastp WNU28_H19 wheat|12v3|BE406147 2639 5724 227 80.9 globlastp WNU28_H20 rye|12v1|DRR001013.219293 2640 5725 227 80.3 globlastp WNU29_H1 wheat|12v3|BE406488 2641 5726 228 93 globlastp WNU29_H2 wheat|12v3|BE403792 2642 5727 228 91.8 globlastp WNU29_H3 leymus|gb166|EG397801_P1 2643 5728 228 91.4 globlastp WNU29_H4 pseudoroegneria|gb167|FF342698 2644 5729 228 91.4 globlastp WNU29_H5 rye|12v1|BF145411 2645 5730 228 90.7 globlastp WNU29_H6 rye|12v1|BF145631 2646 5731 228 90.7 globlastp WNU29_H7 rye|12v1|DRR001012.113133 2647 5732 228 90.7 globlastp WNU29_H8 rye|12v1|DRR001012.152886 2648 5732 228 90.7 globlastp WNU29_H9 rye|12v1|BF146193 2649 5733 228 89.9 globlastp WNU29_H10 rye|12v1|CD453333 2650 5734 228 87.94 glotblastn WNU29_H11 lolium|10v1|DT671714_P1 2651 5735 228 86 globlastp WNU29_H12 oat|11v1|CN820724_P1 2652 5736 228 86 globlastp WNU29_H13 oat|11v1|GO591470_P1 2653 5736 228 86 globlastp WNU29_H14 brachypodium|12v1|BRADI2G19230_P1 2654 5737 228 85.2 globlastp WNU29_H15 rye|12v1|BE438598 2655 5738 228 84.44 glotblastn WNU29_H16 switchgrass|gb167|FE646280 2656 5739 228 81.5 globlastp WNU29_H17 cenchrus|gb166|EB652567_P1 2657 5740 228 81.4 globlastp WNU29_H18 foxtail_millet|11v3|PHY7SI022465M_P1 2658 5741 228 81.2 globlastp WNU29_H22 switchgrass|12v1|DN152053_P1 2659 5742 228 81.1 globlastp WNU29_H19 switchgrass|gb167|DN152053 2660 5742 228 81.1 globlastp WNU29_H20 sugarcane|10v1|CA072716 2661 5743 228 80.8 globlastp WNU29_H21 millet|10v1|EVO454PM032994_P1 2662 5744 228 80.1 globlastp WNU30_H1 wheat|12v3|BE418237 2663 5745 229 96.1 globlastp WNU30_H2 rye|12v1|DRR001012.105664 2664 5746 229 95.7 globlastp WNU30_H3 wheat|12v3|BE591687 2665 5747 229 94.7 globlastp WNU30_H4 brachypodium|12v1|BRADI3G29797_P1 2666 5748 229 88.2 globlastp WNU30_H5 oat|11v1|GR320126_P1 2667 5749 229 87.5 globlastp WNU30_H6 millet|10v1|PMSLX0005022D1_P1 2668 5750 229 82.1 globlastp WNU30_H7 foxtail_millet|11v3|PHY7SI035904M_P1 2669 5751 229 81.7 globlastp WNU30_H8 maize|10v1|AI920364_P1 2670 5752 229 81.7 globlastp WNU30_H9 rice|11v1|CA757830 2671 5753 229 80.6 globlastp WNU30_H10 sorghum|12v1|SB01G018410 2672 5754 229 80.4 globlastp WNU31_H1 rye|12v1|DRR001012.813021 2673 5755 230 93.3 globlastp WNU31_H2 rye|12v1|DRR001012.207578 2674 5756 230 92.7 globlastp WNU31_H3 brachypodium|12v1|BRADI1G18130_P1 2675 5757 230 82.6 globlastp WNU32_H1 rye|12v1|DRR001012.118312 2676 5758 231 94 globlastp WNU32_H2 wheat|12v3|BE516348 2677 5759 231 94 globlastp WNU32_H3 oat|11v1|AF140553_T1 2678 5760 231 85.57 glotblastn WNU32_H4 brachypodium|12v1|BRADI1G71570_P1 2679 5761 231 83.4 globlastp WNU33_H1 wheat|12v3|BE637743 2680 5762 232 95.7 globlastp WNU33_H2 rye|12v1|DRR001012.113659 2681 5763 232 94.2 globlastp WNU33_H3 rye|12v1|DRR001012.7421 2682 5764 232 94.2 globlastp WNU33_H4 brachypodium|12v1|BRADI4G44832_P1 2683 5765 232 91.3 globlastp WNU33_H19 switchgrass|12v1|FL897048_P1 2684 5766 232 87 globlastp WNU33_H20 switchgrass|12v1|GD035382_P1 2685 5766 232 87 globlastp WNU33_H5 foxtail_millet|11v3|PHY7SI012551M_P1 2686 5766 232 87 globlastp WNU33_H6 switchgrass|gb167|FL897048 2687 5766 232 87 globlastp WNU33_H7 rice|11v1|CF325265 2688 5767 232 86.96 glotblastn WNU33_H8 fescue|gb161|DT705155_T1 2689 5768 232 85.92 glotblastn WNU33_H9 rice|11v1|AU166875 2690 5769 232 85.51 glotblastn WNU33_H10 foxtail_millet|11v3|SOLX00022948_P1 2691 5770 232 85.5 globlastp WNU33_H11 sorghum|12v1|SB08G000650 2692 5771 232 85.5 globlastp WNU33_H12 maize|10v1|DW530314_P1 2693 5772 232 84.5 globlastp WNU33_H13 maize|10v1|BE225167_P1 2694 5773 232 84.3 globlastp WNU33_H14 sorghum|12v1|SB05G000620 2695 5774 232 84.1 globlastp WNU33_H15 switchgrass|gb167|FL886195 2696 5775 232 84.1 globlastp WNU33_H16 maize|10v1|DW898426_T1 2697 5776 232 84.06 glotblastn WNU33_H17 sugarcane|10v1|CF575834 2698 5777 232 83.1 globlastp WNU33_H18 millet|10v1|PMSLX0075855D2_P1 2699 5778 232 81.2 globlastp WNU34_H1 wheat|12v3|BU101180 2700 5779 233 91.8 globlastp WNU35_H1 wheat|12v3|BG605144 2701 5780 234 95.1 globlastp WNU35_H2 wheat|12v3|CJ587392 2702 5781 234 92.3 globlastp WNU35_H3 rye|12v1|DRR001012.119573 2703 5782 234 92 globlastp WNU35_H4 barley|12v1|EX583178_P1 2704 5783 234 91.4 globlastp WNU35_H5 wheat|12v3|BF202649 2705 5784 234 90.7 globlastp WNU35_H6 wheat|12v3|CA599142 2706 5785 234 90.6 globlastp WNU35_H7 rye|12v1|DRR001012.166983 2707 5786 234 90.1 globlastp WNU35_H8 rye|12v1|DRR001012.123100 2708 5787 234 89.7 globlastp WNU35_H9 wheat|12v3|BE401525 2709 5788 234 88.3 globlastp WNU35_H10 oat|11v1|GR316665_P1 2710 5789 234 87.7 globlastp WNU35_H11 brachypodium|12v1|BRADI2G07160_P1 2711 5790 234 87.4 globlastp WNU35_H12 sugarcane|10v1|CA119713 2712 5791 234 85.07 glotblastn WNU35_H13 rice|11v1|AA753081 2713 5792 234 83.7 globlastp WNU35_H14 foxtail_millet|11v3|EC612259_P1 2714 5793 234 83.3 globlastp WNU35_H15 foxtail_millet|11v3|PHY7SI036563M_P1 2715 5794 234 83.3 globlastp WNU35_H21 switchgrass|12v1|DN145422_P1 2716 5795 234 82.9 globlastp WNU35_H16 millet|10v1|EVO454PM030513_P1 2717 5796 234 82.6 globlastp WNU35_H22 switchgrass|12v1|DN145373_P1 2718 5797 234 82.4 globlastp WNU35_H17 maize|10v1|AI964587_P1 2719 5798 234 82.4 globlastp WNU35_H18 sorghum|12v1|SB03G001550 2720 5799 234 82.4 globlastp WNU35_H19 switchgrass|gb167|DN145373 2721 5800 234 82.1 globlastp WNU35_H20 maize|10v1|CF244168_P1 2722 5801 234 81.5 globlastp WNU36_H1 wheat|12v3|BE443031 2723 5802 235 95.6 globlastp WNU36_H5 wheat|12v3|BQ789293 2724 5803 235 95.14 glotblastn WNU36_H3 rye|12v1|BE586716 2725 5804 235 95.1 globlastp WNU36_H4 wheat|12v3|BE517286 2726 5805 235 95.1 globlastp WNU36_H2 wheat|12v3|BF202371 2727 5806 235 93.69 glotblastn WNU36_H8 brachypodium|12v1|BRADI3G53420_P1 2728 5807 235 85.7 globlastp WNU37_H1 wheat|12v3|BE606832 2729 5808 236 97.9 globlastp WNU37_H2 wheat|12v3|BF483879 2730 5809 236 97.8 globlastp WNU37_H3 wheat|12v3|BG262647 2731 5810 236 97.8 globlastp WNU37_H4 rye|12v1|DRR001012.103169 2732 5811 236 97.5 globlastp WNU37_H5 wheat|12v3|BE606184 2733 5812 236 97.19 glotblastn WNU37_H7 foxtail_millet|11v3|PHY7SI021351M_P1 2734 5813 236 92.4 globlastp WNU37_H8 rice|11v1|BI811423 2735 5814 236 92.3 globlastp WNU37_H25 switchgrass|12v1|DN142304_T1 2736 5815 236 92.15 glotblastn WNU37_H9 switchgrass|gb167|DN142304 2737 5816 236 92.15 glotblastn WNU37_H26 switchgrass|12v1|FE628118_P1 2738 5817 236 92 globlastp WNU37_H10 millet|10v1|EVO454PM014456_P1 2739 5818 236 92 globlastp WNU37_H11 sorghum|12v1|SB08G018440 2740 5819 236 92 globlastp WNU37_H12 sugarcane|10v1|CA068434 2741 5820 236 92 globlastp WNU37_H13 maize|10v1|AW330878_P1 2742 5821 236 91 globlastp WNU37_H14 maize|10v1|AI615160_P1 2743 5822 236 89.9 globlastp WNU37_H15 banana|12v1|FL649484_P1 2744 5823 236 83.8 globlastp WNU37_H19 oak|10v1|FP034259_P1 2745 5824 236 81.4 globlastp WNU37_H21 amorphophallus|11v2|SRR089351X160169_P1 2746 5825 236 80.5 globlastp WNU37_H22 amborella|12v3|FD432214_P1 2747 5826 236 80.2 globlastp WNU37_H23 aquilegia|10v2|DR927606_P1 2748 5827 236 80.1 globlastp WNU38_H1 rye|12v1|BE704959 2749 5828 237 98.8 globlastp WNU38_H2 wheat|12v3|CA607240 2750 5829 237 98.5 globlastp WNU38_H3 wheat|12v3|BF484914 2751 5830 237 98.4 globlastp WNU38_H4 wheat|12v3|DR732969 2752 5830 237 98.4 globlastp WNU38_H5 brachypodium|12v1|BRADI3G32210T2_P1 2753 5831 237 95 globlastp WNU38_H6 oat|11v1|CN815630_P1 2754 5832 237 94.6 globlastp WNU38_H7 rice|11v1|U38167 2755 5833 237 89.9 globlastp WNU38_H8 sorghum|12v1|SB01G030430 2756 5834 237 89.5 globlastp WNU38_H9 switchgrass|gb167|DN143112 2757 5835 237 88.9 globlastp WNU38_H10 foxtail_millet|11v3|PHY7SI034411M_P1 2758 5836 237 88.7 globlastp WNU38_H11 maize|10v1|AW267461_P1 2759 5837 237 86.2 globlastp WNU38_H12 rye|12v1|DRR001012.507695 2760 5838 237 85.08 glotblastn WNU38_H13 barley|12v1|AJ534446_T1 2761 5839 237 81.58 glotblastn WNU39_H1 rye|12v1|DRR001012.179118 2762 5840 238 98 globlastp WNU39_H2 rye|12v1|BQ160098 2763 5841 238 96.97 glotblastn WNU39_H3 wheat|12v3|AL826350 2764 5842 238 96.8 globlastp WNU39_H4 brachypodium|12v1|BRADI1G01140_P1 2765 5843 238 94.2 globlastp WNU39_H5 barley|12v1|BU988855_P1 2766 5844 238 93.8 globlastp WNU39_H6 brachypodium|12v1|BRADI1G01200_P1 2767 5845 238 93.7 globlastp WNU39_H7 wheat|12v3|CA688079 2768 5846 238 93.4 globlastp WNU39_H8 wheat|12v3|CN011782 2769 5847 238 91.6 globlastp WNU39_H9 rye|12v1|DRR001012.265039 2770 5848 238 90.91 glotblastn WNU39_H10 wheat|12v3|SRR073322X113490D1 2771 5849 238 90.8 globlastp WNU39_H11 maize|10v1|AI612324_P1 2772 5850 238 90.5 globlastp WNU39_H12 rice|11v1|BI798293 2773 5851 238 90.1 globlastp WNU39_H13 sorghum|12v1|SB01G000850 2774 5852 238 89.8 globlastp WNU39_H24 switchgrass|12v1|FE639701_P1 2775 5853 238 89.1 globlastp WNU39_H14 foxtail_millet|11v3|PHY7SI034495M_P1 2776 5854 238 88.9 globlastp WNU39_H25 switchgrass|12v1|FL833868_P1 2777 5855 238 88.8 globlastp WNU39_H26 switchgrass|12v1|FL719668_P1 2778 5856 238 88.5 globlastp WNU39_H15 millet|10v1|EVO454PM002688_P1 2779 5857 238 88.3 globlastp WNU39_H16 maize|10v1|AI947725_P1 2780 5858 238 88.2 globlastp WNU39_H17 switchgrass|gb167|FE639701 2781 5859 238 88.2 glotblastn WNU39_H18 oil_palm|11v1|EL683203_P1 2782 5860 238 84.9 globlastp WNU39_H19 wheat|12v3|SRR400820X1035870D1 2783 5861 238 83.98 glotblastn WNU39_H20 rye|12v1|BE438514 2784 5862 238 83.2 globlastp WNU39_H21 banana|12v1|BBS2636T3_P1 2785 5863 238 82.2 globlastp WNU39_H22 phalaenopsis|11v1|SRR125771.1017165_T1 2786 5864 238 81.29 glotblastn WNU39_H23 grape|11v1|GSVIVT01023351001_P1 2787 5865 238 80.6 globlastp WNU40_H1 rye|12v1|DRR001012.93341 2788 5866 239 91.1 globlastp WNU40_H2 rye|12v1|DRR001012.297746 2789 5867 239 90.5 globlastp WNU41_H2 wheat|12v3|BQ804367 2790 5868 240 89.6 globlastp WNU42_H1 rye|12v1|DRR001012.112433 2791 5869 241 96.1 globlastp WNU42_H2 wheat|12v3|CA728904 2792 5870 241 96.1 globlastp WNU42_H3 wheat|12v3|BE400749 2793 5871 241 93.1 globlastp WNU42_H4 brachypodium|12v1|BRADI5G13120_P1 2794 5872 241 88.1 globlastp WNU42_H5 rice|11v1|CA765423 2795 5873 241 82.8 globlastp WNU43_H1 wheat|12v3|BQ744365 2796 5874 242 87.6 globlastp WNU43_H2 rye|12v1|GFXEU194240X1 2797 5875 242 85.78 glotblastn WNU43_H3 rice|11v1|AY114110 2798 5876 242 82.2 globlastp WNU44_H1 rye|12v1|DRR001012.32802 2799 5877 243 94 globlastp WNU44_H2 wheat|12v3|BF483666 2800 5878 243 94 globlastp WNU46_H1 leymus|gb166|EG400893_P1 2801 5879 245 92.8 globlastp WNU46_H2 wheat|12v3|BE446543 2802 5880 245 92.2 globlastp WNU46_H3 wheat|12v3|BE404251 2803 5881 245 91.6 globlastp WNU46_H4 rye|12v1|BE495560 2804 5882 245 91.2 globlastp WNU46_H5 rye|12v1|DRR001012.276818 2805 5883 245 90.9 globlastp WNU46_H6 barley|12v1|BG366599_P1 2806 5884 245 89.6 globlastp WNU46_H7 rice|11v1|BI806398 2807 5885 245 85.9 globlastp WNU46_H8 maize|10v1|AW055419_P1 2808 5886 245 82.9 globlastp WNU46_H9 maize|10v1|AI964620_P1 2809 5887 245 82.2 globlastp WNU46_H10 sorghum|12v1|SB02G000400 2810 5888 245 82.2 globlastp WNU46_H11 sugarcane|10v1|CA090267 2811 5889 245 82.2 globlastp WNU46_H15 switchgrass|12v1|DN144132_P1 2812 5890 245 81.7 globlastp WNU46_H12 foxtail_millet|11v3|EC612167_P1 2813 5891 245 81.7 globlastp WNU46_H13 switchgrass|gb167|DN144132 2814 5890 245 81.7 globlastp WNU46_H14 switchgrass|gb167|FE599308 2815 5892 245 80.7 globlastp WNU47_H1 barley|12v1|AV833350_P1 2816 5893 246 84.6 globlastp WNU47_H2 rye|12v1|DRR001012.111891 2817 5894 246 83.7 globlastp WNU47_H3 wheat|12v3|BE516917 2818 5895 246 83.7 globlastp WNU51_H1 wheat|12v3|BQ903841 2819 5896 249 86.7 globlastp WNU51_H5 switchgrass|12v1|FE619109_P1 2820 5897 249 82.7 globlastp WNU51_H2 foxtail_millet|11v3|PHY7SI000637M_P1 2821 5898 249 82.3 globlastp WNU51_H3 rice|11v1|AA753089 2822 5899 249 81.9 globlastp WNU51_H4 sorghum|12v1|SB03G029870 2823 5900 249 81.9 globlastp WNU53_H2 switchgrass|12v1|FE620835_T1 2824 5901 251 87.04 glotblastn WNU53_H1 sorghum|12v1|SB02G030160 2825 5902 251 80.64 glotblastn WNU54_H1 switchgrass|gb167|DN143732 2826 5903 252 89.9 globlastp WNU54_H5 switchgrass|12v1|DN143732_P1 2827 5904 252 89.6 globlastp WNU54_H2 switchgrass|gb167|FE621086 2828 5905 252 87.9 globlastp WNU54_H3 millet|10v1|EVO454PM077732_P1 2829 5906 252 81.3 globlastp WNU54_H4 sugarcane|10v1|BQ535885 2830 5907 252 80.2 globlastp WNU55_H1 cenchrus|gb166|BM084440_P1 2831 5908 253 97.6 globlastp WNU55_H17 switchgrass|12v1|FE626008_P1 2832 5909 253 92.4 globlastp WNU55_H18 switchgrass|12v1|FL733655_P1 2833 5910 253 91.7 globlastp WNU55_H2 switchgrass|gb167|FE626008 2834 5911 253 91.7 globlastp WNU55_H3 millet|10v1|EVO454PM020798_P1 2835 5912 253 91.4 globlastp WNU55_H4 maize|10v1|AW052935_P1 2836 5913 253 89.3 globlastp WNU55_H5 sugarcane|10v1|AI105581 2837 5914 253 88.7 globlastp WNU55_H6 oat|11v1|CN819661_P1 2838 5915 253 87.9 globlastp WNU55_H7 wheat|12v3|BE398870 2839 5916 253 87.6 globlastp WNU55_H8 rye|12v1|DRR001012.112998 2840 5917 253 86.9 globlastp WNU55_H9 sorghum|12v1|SB03G045400 2841 5918 253 86.9 globlastp WNU55_H10 fescue|gb161|DT674680_P1 2842 5919 253 86.6 globlastp WNU55_H11 leymus|gb166|EG384989_P1 2843 5920 253 86.6 globlastp WNU55_H12 pseudoroegneria|gb167|FF349242 2844 5921 253 86.6 globlastp WNU55_H13 brachypodium|12v1|BRADI2G60400_P1 2845 5922 253 86.3 globlastp WNU55_H14 rye|12v1|BQ160176 2846 5923 253 85.5 globlastp WNU55_H15 rye|12v1|DRR001012.136908 2847 5924 253 83.6 globlastp WNU55_H16 rye|12v1|DRR001012.10881 2848 5925 253 82.1 globlastp WNU56_H1 millet|10v1|EVO454PM009410_P1 2849 5926 254 97.5 globlastp WNU56_H19 switchgrass|12v1|FL822962_P1 2850 5927 254 95.4 globlastp WNU56_H2 sorghum|12v1|SB06G000370 2851 5928 254 92.3 globlastp WNU56_H3 maize|10v1|AI615164_P1 2852 5929 254 89.1 globlastp WNU56_H4 maize|10v1|AW054516_P1 2853 5930 254 88.4 globlastp WNU56_H5 wheat|12v3|BE414924 2854 5931 254 85.9 globlastp WNU56_H6 barley|12v1|BE420715_P1 2855 5932 254 85.6 globlastp WNU56_H7 brachypodium|12v1|BRADI5G02400T3_P1 2856 5933 254 85.6 globlastp WNU56_H8 rye|12v1|DRR001012.14123 2857 5934 254 84.2 globlastp WNU56_H9 rye|12v1|DRR001013.248475 2858 5935 254 84.2 globlastp WNU56_H10 wheat|12v3|BE418367 2859 5936 254 84.2 globlastp WNU56_H11 wheat|12v3|BE400635 2860 5937 254 83.8 globlastp WNU56_H12 rye|12v1|DRR001012.126292 2861 5938 254 83.5 globlastp WNU56_H13 rye|12v1|DRR001012.131238 2862 5939 254 83.5 globlastp WNU56_H14 rice|11v1|BI798616 2863 5940 254 82.9 globlastp WNU56_H15 switchgrass|gb167|FE610544 2864 5941 254 82 globlastp WNU56_H16 wheat|12v3|CA678232 2865 5942 254 82 globlastp WNU56_H20 switchgrass|12v1|FE600029_T1 2866 5943 254 80.7 glotblastn WNU56_H17 switchgrass|gb167|FE600029 2867 5943 254 80.7 glotblastn WNU56_H18 sugarcane|10v1|BU102873 2868 5944 254 80.3 globlastp WNU57_H1 millet|10v1|EVO454PM018435_P1 2869 5945 255 96.2 globlastp WNU57_H13 switchgrass|12v1|DN141209_P1 2870 5946 255 95.1 globlastp WNU57_H2 switchgrass|gb167|DN151901 2871 5947 255 95.1 globlastp WNU57_H3 maize|10v1|AI600883_P1 2872 5948 255 92 globlastp WNU57_H4 maize|10v1|AI855375_P1 2873 5949 255 91.1 globlastp WNU57_H5 sorghum|12v1|SB04G006620 2874 5950 255 90.7 globlastp WNU57_H6 sugarcane|10v1|BQ533748 2875 5951 255 90.5 globlastp WNU57_H7 rice|11v1|BI305818 2876 5952 255 88.1 globlastp WNU57_H8 barley|12v1|BE437885_P1 2877 5953 255 86.9 globlastp WNU57_H9 rye|12v1|BE493839 2878 5954 255 86.9 globlastp WNU57_H10 wheat|12v3|BE403012 2879 5955 255 86.9 globlastp WNU57_H11 oat|11v1|CN820052_P1 2880 5956 255 86.4 globlastp WNU57_H12 brachypodium|12v1|BRADI3G07130_P1 2881 5957 255 85.9 globlastp WNU58_H1 millet|10v1|PMSLX0007469D1_P1 2882 5958 256 93.1 globlastp WNU58_H3 switchgrass|12v1|FL798481_P1 2883 5959 256 91.9 globlastp WNU58_H2 switchgrass|gb167|FL798481 2884 5960 256 91.5 globlastp WNU60_H3 switchgrass|12v1|FE618777_P1 2885 5961 257 95.1 globlastp WNU60_H4 switchgrass|12v1|FL848693_P1 2886 5962 257 93.9 globlastp WNU60_H1 sorghum|12v1|SB03G035380 2887 5963 257 91.1 globlastp WNU60_H2 maize|10v1|CD947094_P1 2888 5964 257 89.5 globlastp WNU65_H4 switchgrass|12v1|DN151191_T1 2889 5965 260 94.16 glotblastn WNU65_H1 maize|10v1|EC882969_P1 2890 5966 260 90.6 globlastp WNU65_H2 rice|11v1|AU101102 2891 5967 260 86.1 globlastp WNU65_H3 sorghum|12v1|SB06G019660 2892 5968 260 82 globlastp WNU65_H5 switchgrass|12v1|FE648952_P1 2893 5969 260 81.4 globlastp WNU66_H1 millet|10v1|EVO454PM003908_P1 2894 5970 261 97.4 globlastp WNU66_H2 foxtail_millet|11v3|PHY7SI034876M_P1 2895 5971 261 96.7 globlastp WNU66_H14 switchgrass|12v1|FE624920_P1 2896 5972 261 95 globlastp WNU66_H15 switchgrass|12v1|FL743094_P1 2897 5973 261 94.8 globlastp WNU66_H3 sorghum|12v1|SB08G004950 2898 5974 261 92.8 globlastp WNU66_H4 maize|10v1|AI667773_P1 2899 5975 261 92.4 globlastp WNU66_H5 rice|11v1|D40964 2900 — 261 90.31 glotblastn WNU66_H6 brachypodium|12v1|BRADI2G31260_T1 2901 5976 261 88.24 glotblastn WNU66_H7 barley|12v1|BI953051_P1 2902 5977 261 87.7 globlastp WNU66_H8 brachypodium|12v1|BRADI1G76820_P1 2903 5978 261 87.7 globlastp WNU66_H9 rye|12v1|DRR001012.101674 2904 5979 261 87.02 glotblastn WNU66_H10 wheat|12v3|BE515409 2905 5980 261 86.5 globlastp WNU66_H11 wheat|12v3|BF484306 2906 5981 261 86 globlastp WNU66_H12 sugarcane|10v1|CA084686 2907 5982 261 83.2 globlastp WNU66_H13 wheat|12v3|BI750854 2908 5983 261 82 globlastp WNU67_H11 switchgrass|12v1|FL749950_P1 2909 5984 262 98.8 globlastp WNU67_H1 switchgrass|gb167|DN141403 2910 5985 262 98.2 globlastp WNU67_H12 switchgrass|12v1|DN141403_P1 2911 5986 262 97.8 globlastp WNU67_H2 sorghum|12v1|SB04G036240 2912 5987 262 95.8 globlastp WNU67_H3 sugarcane|10v1|BU102542 2913 5988 262 95.2 globlastp WNU67_H4 maize|10v1|AW562559_P1 2914 5989 262 94.6 globlastp WNU67_H5 millet|10v1|EVO454PM095165_T1 2915 5990 262 93.31 glotblastn WNU67_H6 rice|11v1|BI306271 2916 5991 262 93.3 globlastp WNU67_H7 brachypodium|12v1|BRADI3G54387_P1 2917 5992 262 91.5 globlastp WNU67_H8 barley|12v1|BF621231_P1 2918 5993 262 89.7 globlastp WNU67_H9 rye|12v1|DRR001012.125551 2919 5994 262 88.93 glotblastn WNU67_H10 wheat|12v3|BE424759 2920 5995 262 85.1 globlastp WNU68_H5 switchgrass|12v1|FE605833_P1 2921 5996 263 87.9 globlastp WNU68_H1 switchgrass|gb167|FE605833 2922 5997 263 87.8 globlastp WNU68_H2 rice|11v1|AU033236 2923 5998 263 83.4 globlastp WNU68_H3 millet|10v1|PMSLX0015205D1_P1 2924 5999 263 83.2 globlastp WNU68_H4 sorghum|12v1|SB04G027630 2925 6000 263 82.6 globlastp WNU69_H1 brachypodium|12v1|BRADI2G33487_P1 2926 6001 264 83.1 globlastp WNU69_H2 rice|11v1|AA753248 2927 6002 264 83.1 globlastp WNU69_H3 sorghum|12v1|SB09G005780 2928 6003 264 80.8 globlastp WNU70_H1 switchgrass|12v1|FL702936_P1 2929 6004 265 89.1 globlastp WNU70_H2 switchgrass|12v1|FL714970_P1 2930 6005 265 84.9 globlastp WNU71_H26 switchgrass|12v1|FL855287_P1 2931 6006 266 97.1 globlastp WNU71_H1 switchgrass|gb167|FL745977 2932 6007 266 96.36 glotblastn WNU71_H2 sorghum|12v1|SB02G033430 2933 6008 266 95.6 globlastp WNU71_H27 switchgrass|12v1|FL745977_P1 2934 6009 266 94.9 globlastp WNU71_H3 sugarcane|10v1|CA107770 2935 6010 266 94.9 globlastp WNU71_H4 pseudoroegneria|gb167|FF34574 2936 6011 266 93 globlastp WNU71_H5 rye|12v1|DRR001012.120492 2937 6012 266 92.5 globlastp WNU71_H6 rye|12v1|BE494187 2938 6013 266 91.8 globlastp WNU71_H7 rye|12v1|DRR001012.301737 2939 6014 266 91.8 globlastp WNU71_H8 millet|10v1|EVO454PM016198_P1 2940 6015 266 91.7 globlastp WNU71_H9 barley|12v1|BE413186_P1 2941 6016 266 91.5 globlastp WNU71_H10 wheat|12v3|BE414569 2942 6017 266 91.5 globlastp WNU71_H11 leymus|gb166|EG385262_P1 2943 6018 266 91.3 globlastp WNU71_H12 fescue|gb161|DT674288_P1 2944 6019 266 90.6 globlastp WNU71_H13 rice|11v1|BI797791 2945 6020 266 90.3 globlastp WNU71_H14 brachypodium|12v1|BRADI1G27460_P1 2946 6021 266 89.9 globlastp WNU71_H15 oat|11v1|AA231752_P1 2947 6022 266 89.6 globlastp WNU71_H16 banana|12v1|FF557606_T1 2948 6023 266 81.19 glotblastn WNU71_H17 hornbeam|12v1|SRR364455.110930_T1 2949 6024 266 81.07 glotblastn WNU71_H18 maize|10v1|AI920419_T1 2950 6025 266 80.83 glotblastn WNU71_H19 cacao|10v1|CU471506_P1 2951 6026 266 80.5 globlastp WNU71_H20 cotton|11v1|CO089937_T1 2952 6027 266 80.34 glotblastn WNU71_H21 ipomoea_nil|10v1|BJ565253_T1 2953 6028 266 80.34 glotblastn WNU71_H22 banana|12v1|BBS184T3_P1 2954 6029 266 80.1 globlastp WNU71_H23 cotton|11v1|BE055094_T1 2955 6030 266 80.1 glotblastn WNU71_H24 flaveria|11v1|SRR149229.123410_T1 2956 6031 266 80.1 glotblastn WNU71_H25 strawberry|11v1|GT151387 2957 6032 266 80.1 globlastp WNU72_H1 millet|10v1|EVO454PM004850_P1 2958 6033 267 94.3 globlastp WNU72_H14 switchgrass|12v1|FE609299_P1 2959 6034 267 93.3 globlastp WNU72_H2 switchgrass|gb167|FE609299 2960 6035 267 93.1 globlastp WNU72_H3 maize|10v1|AI943960_P1 2961 6036 267 90.1 globlastp WNU72_H4 sorghum|12v1|SB01G000600 2962 6037 267 89.9 globlastp WNU72_H5 maize|10v1|W49430_P1 2963 6038 267 88.9 globlastp WNU72_H6 brachypodium|12v1|BRADI1G00990_P1 2964 6039 267 85.1 globlastp WNU72_H7 rice|11v1|BE229715 2965 6040 267 83.7 globlastp WNU72_H8 wheat|12v3|BE498573 2966 6041 267 83.2 globlastp WNU72_H9 wheat|12v3|BE591785 2967 6042 267 83 globlastp WNU72_H10 rye|12v1|BE587577 2968 6043 267 82.97 glotblastn WNU72_H11 rye|12v1|BF145793 2969 6044 267 82.8 globlastp WNU72_H12 barley|12v1|BF625365_P1 2970 6045 267 82.6 globlastp WNU72_H13 wheat|12v3|SRR073321X116449D1 2971 6046 267 81.2 globlastp WNU73_H1 millet|10v1|EB411032_P1 2972 6047 268 92.2 globlastp WNU73_H2 switchgrass|gb167|DN143721 2973 6048 268 91.2 globlastp WNU73_H3 sorghum|12v1|SB01G038500 2974 6049 268 89.4 globlastp WNU73_H4 maize|10v1|AI943624_P1 2975 6050 268 88.1 globlastp WNU73_H9 switchgrass|12v1|FE628623_P1 2976 6051 268 83 globlastp WNU73_H5 rice|11v1|BE230020 2977 6052 268 81.8 globlastp WNU73_H10 switchgrass|12v1|DN143721_P1 2978 6053 268 81.6 globlastp WNU73_H6 brachypodium|12v1|BRADI1G65580_P1 2979 6054 268 80.4 globlastp WNU73_H7 barley|12v1|BE216681_P1 2980 6055 268 80.2 globlastp WNU73_H8 wheat|12v3|BF478638 2981 6056 268 80 globlastp WNU74_H11 switchgrass|12v1|FE597705_P1 2982 6057 269 96.8 globlastp WNU74_H1 switchgrass|gb167|DN143125 2983 6058 269 96.8 globlastp WNU74_H2 sorghum|12v1|SB01G026590 2984 6059 269 94.1 globlastp WNU74_H3 maize|10v1|AI941583_P1 2985 6060 269 92.9 globlastp WNU74_H4 rice|11v1|CA998124 2986 6061 269 89.2 globlastp WNU74_H5 brachypodium|12v1|BRADI3G21180_P1 2987 6062 269 85.9 globlastp WNU74_H6 rye|12v1|BE587915 2988 6063 269 84.1 globlastp WNU74_H7 sugarcane|10v1|CA066393XX2 2989 6064 269 84.1 globlastp WNU74_H8 wheat|12v3|BQ161332 2990 6065 269 84.1 globlastp WNU74_H9 wheat|12v3|BE443378 2991 6066 269 83.5 globlastp WNU74_H10 barley|12v1|AV836614_P1 2992 6067 269 82.6 globlastp WNU75_H1 sorghum|12v1|SB06G030330 2993 6068 270 97.1 globlastp WNU75_H2 sugarcane|10v1|CA087831 2994 6069 270 96.3 globlastp WNU75_H3 maize|10v1|T18425_P1 2995 6070 270 93 globlastp WNU75_H4 switchgrass|gb167|FL741557 2996 6071 270 87.3 globlastp WNU75_H8 switchgrass|12v1|FE603022_P1 2997 6072 270 86.5 globlastp WNU75_H5 foxtail_millet|11v3|PHY7SI010909M_P1 2998 6073 270 86.5 globlastp WNU75_H6 switchgrass|gb167|FE603022 2999 6074 270 85.7 globlastp WNU75_H7 millet|10v1|EVO454PM000097_P1 3000 6075 270 85.3 globlastp WNU76_H1 sorghum|12v1|SB02G042930 3001 6076 271 93.1 globlastp WNU76_H2 foxtail_millet|11v3|PHY7SI02882M_P1 3002 6077 271 90 globlastp WNU76_H3 switchgrass|gb167|FE629549 3003 6078 271 89.45 glotblastn WNU76_H4 rice|11v1|BI798105 3004 — 271 84.05 glotblastn WNU76_H5 barley|12v1|BI952099_P1 3005 6079 271 81.4 globlastp WNU76_H6 wheat|12v3|BG604709 3006 6080 271 81.4 globlastp WNU76_H7 rye|12v1|BE705594 3007 6081 271 81 globlastp WNU77_H1 sugarcane|10v1|CA082006 3008 6082 272 86 globlastp WNU77_H2 switchgrass|gb167|DN145582 3009 6083 272 81 globlastp WNU77_H3 switchgrass|12v1|DN143279_P1 3010 6084 272 80.8 globlastp WNU82_H3 maize|10v1|EY952669_P1 3011 6085 276 83.9 globlastp WNU85_H1 foxtail_millet|11v3|EC613694_P1 3012 6086 278 86.4 globlastp WNU85_H2 leymus|gb166|EG386550_P1 3013 6087 278 84.1 globlastp WNU85_H3 maize|10v1|BI273418_P1 3014 6088 278 83.7 globlastp WNU85_H4 brachypodium|12v1|BRADI2G07510_P1 3015 6089 278 83.6 globlastp WNU85_H5 sorghum|12v1|SB03G001140 3016 6090 278 83.6 globlastp WNU85_H6 maize|10v1|AI622003_P1 3017 6091 278 83 globlastp WNU85_H7 sugarcane|10v1|CA077199 3018 6092 278 82.9 globlastp WNU85_H8 wheat|12v3|BE407080 3019 6093 278 82.2 globlastp WNU85_H9 pseudoroegneria|gb167|FF346440 3020 6094 278 81.5 globlastp WNU91_H1 sugarcane|10v1|BQ529697 3021 6095 281 95.1 globlastp WNU91_H2 maize|10v1|AI714451_P1 3022 6096 281 91.9 globlastp WNU91_H3 cenchrus|gb166|EB659537_P1 3023 6097 281 87 globlastp WNU91_H4 foxtail_millet|11v3|PHY7SI036279M_P1 3024 6098 281 86.5 globlastp WNU91_H5 millet|10v1|EVO454PM061725_P1 3025 6099 281 86.5 globlastp WNU91_H6 switchgrass|gb167|FL718671 3026 6100 281 86.5 globlastp WNU91_H7 switchgrass|gb167|DN146028 3027 6101 281 86.2 globlastp WNU91_H8 maize|10v1|BG841044_P1 3028 6102 281 85.6 globlastp WNU91_H9 switchgrass|12v1|DN146028_P1 3029 6103 281 85.4 globlastp WNU92_H1 sugarcane|10v1|CA115395 3030 6104 282 98.7 globlastp WNU92_H2 maize|10v1|BG842702_P1 3031 6105 282 94.8 globlastp WNU92_H3 foxtail_millet|11v3|PHY7SI036735M_P1 3032 6106 282 91.3 globlastp WNU92_H11 switchgrass|12v1|FL787392_P1 3033 6107 282 90.6 globlastp WNU92_H4 switchgrass|gb167|FL787392 3034 6108 282 90.6 globlastp WNU92_H5 millet|10v1|EVO454PM039193_P1 3035 6109 282 88.6 globlastp WNU92_H6 rice|11v1|GFXAC079890X38 3036 6110 282 82.7 globlastp WNU92_H7 wheat|12v3|BE401563 3037 6111 282 82.2 globlastp WNU92_H8 pseudoroegneria|gb167|FF340127 3038 6112 282 81.9 globlastp WNU92_H9 brachypodium|12v1|BRADI3G33500_T1 3039 6113 282 81.73 glotblastn WNU92_H10 rye|12v1|DRR001012.184640 3040 6114 282 81.7 globlastp WNU93_H1 sorghum|12v1|SB03G008170 3041 6115 283 90.35 glotblastn WNU93_H2 maize|10v1|EG041304_P1 3042 6116 283 86.9 globlastp WNU94_H1 maize|10v1|AI712018_P1 3043 6117 284 89.2 globlastp WNU96_H1 sugarcane|10v1|BQ533215 3044 6118 285 99.3 globlastp WNU96_H378 switchgrass|12v1|DN145903_P1 3045 6119 285 97.3 globlastp WNU96_H2 foxtail_millet|11v3|PHY7SI019535M_P1 3046 6120 285 97.3 globlastp WNU96_H3 switchgrass|gb167|DN145903 3047 6119 285 97.3 globlastp WNU96_H4 milled|0v1|IEVO454PM012266_P1 3048 6121 285 96.6 globlastp WNU96_H379 switchgrass|12v1|DN143392_P1 3049 6122 285 95.2 globlastp WNU96_H5 switchgrass|gb167|DN143392 3050 6122 285 95.2 globlastp WNU96_H380 switchgrass|12v1|FE642253_P1 3051 6123 285 94.6 globlastp WNU96_H6 maize|10v1|AI677028_P1 3052 6124 285 93.8 globlastp WNU96_H7 sorghum|12v1|SB02G039090 3053 6125 285 93.2 globlastp WNU96_H8 sugarcane|10v1|BQ533371 3054 6125 285 93.2 globlastp WNU96_H9 sugarcane|10v1|BQ537159 3055 6125 285 93.2 globlastp WNU96_H10 foxtail_millet|11v3|PHY7SI031425M_P1 3056 6126 285 92.5 globlastp WNU96_H11 maize|10v1|AI649418_P1 3057 6127 285 92.5 globlastp WNU96_H12 maize|10v1|AI861105_P1 3058 6128 285 92.5 globlastp WNU96_H381 switchgrass|12v1|DN143058_P1 3059 6129 285 91.8 globlastp WNU96_H13 rice|11v1|BI305765 3060 6130 285 91.8 globlastp WNU96_H14 brachypodium|12v1|BRADI1G21630_P1 3061 6131 285 91.1 globlastp WNU96_H15 millet|10v1|EV0454PM006047_P1 3062 6132 285 91.1 globlastp WNU96_H382 switchgrass|12v1|DN145269_P1 3063 6133 285 90.4 globlastp WNU96_H16 brachypodium|12v1|BRADI1G60160_P1 3064 6134 285 89.9 globlastp WNU96_H17 fescue|gb161|DT685989_P1 3065 6135 285 89.7 globlastp WNU96_H18 oat|11v1|GO586704_P1 3066 6135 285 89.7 globlastp WNU96_H19 oat|11v1|GO586971_P1 3067 6135 285 89.7 globlastp WNU96_H20 oat|11v1|GR342940_P1 3068 6135 285 89.7 globlastp WNU96_H21 oat|11v1|GR356048_P1 3069 6135 285 89.7 globlastp WNU96_H22 rice|11v1|BE039823 3070 6136 285 89.1 globlastp WNU96_H23 barley|12v1|BF625537_P1 3071 6137 285 89 globlastp WNU96_H24 oat|11v1|GO588962_P1 3072 6138 285 88.5 globlastp WNU96_H25 cynodon|10v1|BQ825915_T1 3073 6139 285 88.44 glotblastn WNU96_H26 cenchrus|gb166|EB658948_P1 3074 6140 285 88.4 globlastp WNU96_H27 rye|12v1|DRR001012.102215 3075 6141 285 88.4 globlastp WNU96_H28 rye|12v1|DRR001012.24513 3076 6142 285 88.4 globlastp WNU96_H29 pseudoroegneria|gb167|FF348077 3077 6143 285 88.36 glotblastn WNU96_H30 wheat|12v3|BE419409 3078 6144 285 87.7 globlastp WNU96_H31 lolium|10v1|AU249100_P1 3079 6145 285 87.2 globlastp WNU96_H32 switchgrass|gb167|FE628032 3080 6146 285 87.07 glotblastn WNU96_H33 fescue|gb161|DT694422_P1 3081 6147 285 86.5 globlastp WNU96_H383 switchgrass|12v1|SRR187765.118162_P1 3082 6148 285 86.4 globlastp WNU96_H34 rice|11v1|AF074733 3083 6149 285 86.4 globlastp WNU96_H35 rice|11v1|AU101070 3084 6150 285 86.39 glotblastn WNU96_H36 catharanthus|11v1|EG557678XX1_P1 3085 6151 285 85.7 globlastp WNU96_H37 chelidonium|11v1|SRR084752X100509_P1 3086 6152 285 85.7 globlastp WNU96_H38 periwinkle|gb164|EG557678_P1 3087 6151 285 85.7 globlastp WNU96_H39 lovegrass|gb167|EH195517_T1 3088 6153 285 85.62 glotblastn WNU96_H40 wheat|12v3|CA485730 3089 6154 285 85.6 globlastp WNU96_H41 oil_palm|11v1|EL682473_P1 3090 6155 285 85.2 globlastp WNU96_H42 phalaenopsis|11v1|CB032680_P1 3091 6156 285 85.2 globlastp WNU96_H43 artemisia|10v1|EY032469_P1 3092 6157 285 85 globlastp WNU96_H44 artemisia|10v1|SRR019254S0089735_P1 3093 6157 285 85 globlastp WNU96_H45 eschscholzia|11v1|CD481334XX1_P1 3094 6158 285 85 globlastp WNU96_H46 eschscholzia|11v1|SRR014116.106420_P1 3095 6158 285 85 globlastp WNU96_H47 flaveria|11v1|SRR149229.106105_P1 3096 6159 285 85 globlastp WNU96_H48 lettuce|12v1|DW056578_P1 3097 6160 285 85 globlastp WNU96_H49 plantago|11v2|SRR066373X112538_P1 3098 6161 285 84.9 globlastp WNU96_H50 banana|12v1|ES433157_P1 3099 6162 285 84.6 globlastp WNU96_H51 oil_palm|11v1|EL682536_P1 3100 6163 285 84.6 globlastp WNU96_H52 amorphophallus|11v2|SRR089351X111826_P1 3101 6164 285 84.5 globlastp WNU96_H53 basilicum|10v1|DY331064_P1 3102 6165 285 84.4 globlastp WNU96_H54 cirsium|11v1|SRR346952.143114_P1 3103 6166 285 84.4 globlastp WNU96_H55 cirsium|11v1|SRR349641.671786_P1 3104 6167 285 84.4 globlastp WNU96_H56 eschscholzia|11v1|CK746606_P1 3105 6168 285 84.4 globlastp WNU96_H57 eschscholzia|11v1|SRR014116.121035_P1 3106 6169 285 84.4 globlastp WNU96_H58 eucalyptus|11v2|CU399079_P1 3107 6170 285 84.4 globlastp WNU96_H59 fagopyrum|11v1|SRR063689X103613_P1 3108 6171 285 84.4 globlastp WNU96_H60 fagopyrum|11v1|SRR063703X112774XX1_P1 3109 6172 285 84.4 globlastp WNU96_H61 flaveria|11v1|SRR149229.130605_P1 3110 6173 285 84.4 globlastp WNU96_H62 flaveria|11v1|SRR149229.192862_P1 3111 6174 285 84.4 globlastp WNU96_H63 flaveria|11v1|SRR149232.10738_P1 3112 6175 285 84.4 globlastp WNU96_H64 flaveria|11v1|SRR149232.178235_P1 3113 6176 285 84.4 globlastp WNU96_H65 flaveria|11v1|SRR149241.111155_P1 3114 6175 285 84.4 globlastp WNU96_H66 gerbera|09v1|AJ750765_P1 3115 6177 285 84.4 globlastp WNU96_H67 grape|11v1|GSVIVT01032405001_P1 3116 6178 285 84.4 globlastp WNU96_H68 poplar|10v1|BI131568 3117 6179 285 84.4 globlastp WNU96_H68 poplar|13v1|BI131568_P1 3118 6179 285 84.4 globlastp WNU96_H69 poplar|10v1|BU824189 3119 6180 285 84.4 globlastp WNU96_H69 poplar|13v1|BU824189_P1 3120 6180 285 84.4 globlastp WNU96_H70 poppy|11v1|SRR030259.101588_P1 3121 6181 285 84.4 globlastp WNU96_H71 utricularia|11v1|SRR094438.113490 3122 6182 285 84.35 glotblastn WNU96_H384 prunus_mume|13v1|CB820134_P1 3123 6183 285 84 globlastp WNU96_H72 prunus|10v1|CB820134 3124 6184 285 84 globlastp WNU96_H73 banana|12v1|ES433372_P1 3125 6185 285 83.9 globlastp WNU96_H74 banana|12v1|ES437435_P1 3126 6186 285 83.9 globlastp WNU96_H75 banana|12v1|FL664940_P1 3127 6187 285 83.9 globlastp WNU96_H76 oil_palm|11v1|EY403792_P1 3128 6188 285 83.9 globlastp WNU96_H385 castorbean|12v1|EV521260_P1 3129 6189 285 83.7 globlastp WNU96_H77 amsonia|11v1|SRR098688X103253_P1 3130 6190 285 83.7 globlastp WNU96_H78 arnica|11v1|SRR099034X100196_P1 3131 6191 285 83.7 globlastp WNU96_H79 arnica|11v1|SRR099034X109795_P1 3132 6192 285 83.7 globlastp WNU96_H80 cannabis|12v1|EW701714_P1 3133 6193 285 83.7 globlastp WNU96_H81 castorbean|11v1|EV521260 3134 6189 285 83.7 globlastp WNU96_H82 catharanthus|11v1|EG557805XX1_P1 3135 6194 285 83.7 globlastp WNU96_H83 cleome_gynandra|10v1|SRR015532S0032808_P1 3136 6195 285 83.7 globlastp WNU96_H84 cucurbita|11v1|SRR091276X130567_P1 3137 6196 285 83.7 globlastp WNU96_H85 euphorbia|11v1|DV112950_P1 3138 6197 285 83.7 globlastp WNU96_H86 flaveria|11v1|SRR149232.108657_P1 3139 6198 285 83.7 globlastp WNU96_H87 flaveria|11v1|SRR149241.101479_P1 3140 6199 285 83.7 globlastp WNU96_H88 flaveria|11v1|SRR149241.116281_P1 3141 6200 285 83.7 globlastp WNU96_H89 flaveria|11v1|SRR149241.163891_P1 3142 6200 285 83.7 globlastp WNU96_H90 hornbeam|12v1|SRR364455.10182_P1 3143 6201 285 83.7 globlastp WNU96_H91 phyla|11v2|SRR099035X102200_P1 3144 6202 285 83.7 globlastp WNU96_H92 plantago|11v2|SRR066373X103518_P1 3145 6203 285 83.7 globlastp WNU96_H93 poplar|10v1|AI162838 3146 6204 285 83.7 globlastp WNU96_H93 poplar|13v1|AI162838_P1 3147 6204 285 83.7 globlastp WNU96_H94 poppy|11v1|FE964351_P1 3148 6205 285 83.7 globlastp WNU96_H95 sarracenia|11v1|SRR192669.161055 3149 6206 285 83.7 globlastp WNU96_H96 sunflower|12v1|CD848611XX1 3150 6207 285 83.7 globlastp WNU96_H97 sunflower|12v1|EL432812 3151 6207 285 83.7 globlastp WNU96_H98 tragopogon|10v1|SRR020205S0003341 3152 6208 285 83.7 globlastp WNU96_H99 utricularia|11v1|SRR094438.101639 3153 6209 285 83.7 globlastp WNU96_H100 pseudotsuga|10v1|SRR065119S0009880 3154 6210 285 83.6 globlastp WNU96_H101 rye|12v1|DRR001012.3832 3155 6211 285 83.6 globlastp WNU96_H102 cedrus|11v1|SRR065007X100354_T1 3156 6212 285 83.56 glotblastn WNU96_H103 apple|11v1|CN489950_P1 3157 6213 285 83.2 globlastp WNU96_H104 pepper|12v1|SRR203275X41866D1_P1 3158 6213 285 83.2 globlastp WNU96_H386 bean|12v2|CA897774_P1 3159 6214 285 83 globlastp WNU96_H387 monkeyflower|12v1|DV206951_P1 3160 6215 285 83 globlastp WNU96_H388 monkeyflower|12v1|DV211975_P1 3161 6216 285 83 globlastp WNU96_H389 prunus_mume|13v1|BU039430_P1 3162 6217 285 83 globlastp WNU96_H105 ambrosia|11v1|FG943037XX1_P1 3163 6218 285 83 globlastp WNU96_H106 ambrosia|11v1|SRR346935.334229_P1 3164 6218 285 83 globlastp WNU96_H107 ambrosia|11v1|SRR346943.122513XX1_P1 3165 6219 285 83 globlastp WNU96_H108 aquilegia|10v2|JGIAC006234_P1 3166 6220 285 83 globlastp WNU96_H109 b_juncea|12v1|E6ANDIZ01A5B9Z_P1 3167 6221 285 83 globlastp WNU96_H110 b_juncea|12v1|E6ANDIZ01AU7ID_P1 3168 6222 285 83 globlastp WNU96_H111 b_juncea|12v1|E6ANDIZ01C4NDD_P1 3169 6223 285 83 globlastp WNU96_H112 b_oleracea|gb161|DY026186_P1 3170 6224 285 83 globlastp WNU96_H113 b_rapa|11v1|BG544961_P1 3171 6224 285 83 globlastp WNU96_H114 b_rapa|11v1|CD812537_P1 3172 6221 285 83 globlastp WNU96_H115 b_rapa|11v1|CD816901_P1 3173 6225 285 83 globlastp WNU96_H116 b_rapa|11v1|L33536_P1 3174 6223 285 83 globlastp WNU96_H118 canola|11v1|CN728700XX1_P1 3175 6223 285 83 globlastp WNU96_H119 canola|11v1|CN731386XX1_P1 3176 6223 285 83 globlastp WNU96_H120 canola|11v1|CN731668XX1_P1 3177 6223 285 83 globlastp WNU96_H121 canola|11v1|CN732454XX1_P1 3178 6224 285 83 globlastp WNU96_H122 canola|11v1|DW997477_P1 3179 6224 285 83 globlastp WNU96_H123 chelidonium|11v1|SRR084752X110318_P1 3180 6226 285 83 globlastp WNU96_H124 cleome_spinosa|10v1|GR934804XX1_P1 3181 6227 285 83 globlastp WNU96_H125 cleome_spinosa|10v1|SRR015531S0005856_P1 3182 6228 285 83 globlastp WNU96_H126 cotton|11v1|BE052151_P1 3183 6229 285 83 globlastp WNU96_H127 cucumber|09v1|CK085637_P1 3184 6230 285 83 globlastp WNU96_H128 euonymus|11v1|SRR070038X122109_P1 3185 6231 285 83 globlastp WNU96_H129 euonymus|11v1|SRR070038X188652_P1 3186 6232 285 83 globlastp WNU96_H130 flaveria|11v1|SRR149232.112624_P1 3187 6233 285 83 globlastp WNU96_H131 gossypium_raimondii|12v1|BE052151_P1 3188 6229 285 83 globlastp WNU96_H132 grape|11v1|GSVIVT01007667001_P1 3189 6234 285 83 globlastp WNU96_H133 kiwi|gb166|FG425898_P1 3190 6235 285 83 globlastp WNU96_H134 lettuce|12v1|DW044410_P1 3191 6236 285 83 globlastp WNU96_H135 lettuce|12v1|DW047896_P1 3192 6237 285 83 globlastp WNU96_H136 monkeyflower|10v1|DV206951 3193 6215 285 83 globlastp WNU96_H137 monkeyflower|10v1|DV211975 3194 6216 285 83 globlastp WNU96_H138 parthenium|10v1|GW779132_P1 3195 6238 285 83 globlastp WNU96_H139 platanus|11v1|SRR096786X10437_P1 3196 6239 285 83 globlastp WNU96_H140 poplar|10v1|AI164349 3197 6240 285 83 globlastp WNU96_H140 poplar|13v1|AI164349_P1 3198 6240 285 83 globlastp WNU96_H141 prunus|10v1|BU039430 3199 6217 285 83 globlastp WNU96_H142 rose|12v1|SRR397984.100042 3200 6241 285 83 globlastp WNU96_H143 senecio|gb170|DY661161 3201 6242 285 83 globlastp WNU96_H144 silene|11v1|SRR096785X100751 3202 6243 285 83 globlastp WNU96_H145 spurge|gb161|DV112950 3203 6244 285 83 globlastp WNU96_H146 spurge|gb161|DV113682 3204 6245 285 83 globlastp WNU96_H147 tragopogon|10v1|SRR020205S0012356 3205 6246 285 83 globlastp WNU96_H148 tragopogon|10v1|SRR020205S0135148 3206 6247 285 83 globlastp WNU96_H149 tripterygium|11v1|SRR098677X107685XX1 3207 6248 285 83 globlastp WNU96_H150 euphorbia|11v1|DV113682XX1_T1 3208 6249 285 82.99 glotblastn WNU96_H151 flaveria|11v1|SRR149241.184143_T1 3209 6250 285 82.99 glotblastn WNU96_H152 strawberry|11v1|EX672486 3210 6251 285 82.99 glotblastn WNU96_H153 cedrus|11v1|SRR065007X133095_P1 3211 6252 285 82.9 globlastp WNU96_H154 cycas|gb166|CB092905_P1 3212 6253 285 82.9 globlastp WNU96_H155 spruce|11v1|AF051252 3213 6254 285 82.9 globlastp WNU96_H156 spruce|11v1|ES252863 3214 6254 285 82.9 globlastp WNU96_H157 spruce|11v1|ES259552XX2 3215 6254 285 82.9 globlastp WNU96_H158 spruce|11v1|EX331635XX1 3216 6254 285 82.9 globlastp WNU96_H159 spruce|11v1|SRR064180X149006 3217 6254 285 82.9 globlastp WNU96_H160 spruce|11v1|SRR064180X162014 3218 6255 285 82.88 glotblastn WNU96_H390 zostera|12v1|SRR057351X104422D1_P1 3219 6256 285 82.7 globlastp WNU96_H161 zostera|10v1|SRR057351S0016869 3220 6256 285 82.7 globlastp WNU96_H391 zostera|12v1|AM770335_P1 3221 6257 285 82.6 globlastp WNU96_H162 zostera|10v1|AM770335 3222 6257 285 82.6 globlastp WNU96_H163 amorphophallus|11v2|SRR089351X101338_P1 3223 6258 285 82.4 globlastp WNU96_H164 cacao|10v1|CU473578_P1 3224 6259 285 82.4 globlastp WNU96_H165 canola|11v1|CN726672XX1_T1 3225 6260 285 82.31 glotblastn WNU96_H166 cirsium|11v1|SRR346952.1008646_T1 3226 6261 285 82.31 glotblastn WNU96_H167 fagopyrum|11v1|SRR063689X117854_T1 3227 6262 285 82.31 glotblastn WNU96_H168 thalictrum|11v1|SRR096787X102875 3228 6263 285 82.31 glotblastn WNU96_H169 thalictrum|11v1|SRR096787X115641 3229 6264 285 82.31 glotblastn WNU96_H392 castorbean|12v1|T15058_P1 3230 6265 285 82.3 globlastp WNU96_H393 monkeyflower|12v1|DV206555_P1 3231 6266 285 82.3 globlastp WNU96_H170 ambrosia|11v1|SRR346935.101575_P1 3232 6267 285 82.3 globlastp WNU96_H171 ambrosia|11v1|SRR346935.105796_P1 3233 6268 285 82.3 globlastp WNU96_H172 aquilegia|10v2|JGIAC009870_P1 3234 6269 285 82.3 globlastp WNU96_H173 b_juncea|12v1|E6ANDIZ01A3634_P1 3235 6270 285 82.3 globlastp WNU96_H174 b_juncea|12v1|E6ANDIZ01A4ELM_P1 3236 6271 285 82.3 globlastp WNU96_H175 b_juncea|12v1|EF165000_P1 3237 6272 285 82.3 globlastp WNU96_H176 b_oleracea|gb161|DY025832_P1 3238 6273 285 82.3 globlastp WNU96_H177 b_oleracea|gb161|DY026153_P1 3239 6274 285 82.3 globlastp WNU96_H178 basilicum|10v1|DY337098_P1 3240 6275 285 82.3 globlastp WNU96_H179 cacao|10v1|EH057746_P1 3241 6276 285 82.3 globlastp WNU96_H180 canola|11v1|CN725957XX1_P1 3242 6273 285 82.3 globlastp WNU96_H181 canola|11v1|CN730422_P1 3243 6274 285 82.3 globlastp WNU96_H182 canola|11v1|CN732102_P1 3244 6277 285 82.3 globlastp WNU96_H183 cassava|09v1|CK641581_P1 3245 6278 285 82.3 globlastp WNU96_H185 chestnut|gb170|SRR006295S0003019_P1 3246 6279 285 82.3 globlastp WNU96_H186 cleome_gynandra|10v1|SRR015532S0002168_P1 3247 6280 285 82.3 globlastp WNU96_H187 cleome_spinosa|10v1|GR932217XX1_P1 3248 6280 285 82.3 globlastp WNU96_H188 cotton|11v1|BG443711_P1 3249 6281 285 82.3 globlastp WNU96_H189 eucalyptus|11v2|SRR001659X129057_P1 3250 6282 285 82.3 globlastp WNU96_H190 fagopyrum|11v1|SRR063689X5808_P1 3251 6283 285 82.3 globlastp WNU96_H191 gossypium_raimondii|12v1|BG443711_P1 3252 6281 285 82.3 globlastp WNU96_H192 humulus|11v1|EX519727XX1_P1 3253 6284 285 82.3 globlastp WNU96_H193 humulus|11v1|EX519727XX2_P1 3254 6284 285 82.3 globlastp WNU96_H194 ipomoea_nil|10v1|CJ740287_P1 3255 6285 285 82.3 globlastp WNU96_H196 nasturtium|11v1|SRR032558.125661_P1 3256 6286 285 82.3 globlastp WNU96_H197 oak|10v1|FP024996_P1 3257 6279 285 82.3 globlastp WNU96_H198 pigeonpea|11v1|GR465377_P1 3258 6287 285 82.3 globlastp WNU96_H199 platanus|11v1|SRR096786X100140_P1 3259 6288 285 82.3 globlastp WNU96_H200 radish|gb164|EV525531 3260 6289 285 82.3 globlastp WNU96_H201 radish|gb164|EV527006 3261 6290 285 82.3 globlastp WNU96_H202 radish|gb164|EV538492 3262 6291 285 82.3 globlastp WNU96_H203 radish|gb164|EV542487 3263 6292 285 82.3 globlastp WNU96_H204 radish|gb164|FD950409 3264 6293 285 82.3 globlastp WNU96_H205 senecio|gb170|SRR006592S0001217 3265 6294 285 82.3 globlastp WNU96_H206 sunflower|12v1|CD851129XX1 3266 6295 285 82.3 globlastp WNU96_H207 sunflower|12v1|CD853270XX1 3267 6268 285 82.3 globlastp WNU96_H208 sunflower|12v1|CF076631 3268 6295 285 82.3 globlastp WNU96_H209 sunflower|12v1|DY928155 3269 6295 285 82.3 globlastp WNU96_H210 sunflower|12v1|DY930550 3270 6295 285 82.3 globlastp WNU96_H211 sunflower|12v1|DY955104 3271 6268 285 82.3 globlastp WNU96_H212 sunflower|12v1|DY958350 3272 6268 285 82.3 globlastp WNU96_H213 sunflower|12v1|DY958886 3273 6295 285 82.3 globlastp WNU96_H214 sunflower|12v1|EE656653 3274 6295 285 82.3 globlastp WNU96_H215 tabernaemontanal|1v1|SRR098689X104457 3275 6296 285 82.3 globlastp WNU96_H216 thalictrum|11v1|SRR096787X104709 3276 6297 285 82.3 globlastp WNU96_H217 triphysaria|10v1|CB815236 3277 6298 285 82.3 globlastp WNU96_H218 watermelon|11v1|AM719795 3278 6299 285 82.3 globlastp WNU96_H219 abies|11v2|SRR098676X111808_P1 3279 6300 285 82.2 globlastp WNU96_H220 abies|11v2|SRR098676X13377_P1 3280 6301 285 82.2 globlastp WNU96_H221 cycas|gb166|EX920982_P1 3281 6302 285 82.2 globlastp WNU96_H222 maritime_pine|10v1|AL750653_P1 3282 6303 285 82.2 globlastp WNU96_H223 nasturtium|11v1|GH161772_P1 3283 6304 285 82.2 globlastp WNU96_H224 pine|10v2|AA556393_P1 3284 6305 285 82.2 globlastp WNU96_H225 spruce|11v1|ES248525XX1 3285 6306 285 82.2 globlastp WNU96_H226 pine|10v2|AI812874XX1_T1 3286 6307 285 82.19 glotblastn WNU96_H227 pine|10v2|AW985265_T1 3287 6307 285 82.19 glotblastn WNU96_H228 spruce|11v1|FD734799XX1 3288 6308 285 82.19 glotblastn WNU96_H229 petunia|gb171|AF088913_P1 3289 6309 285 82 globlastp WNU96_H230 euonymus|11v1|SRR070038X218801_P1 3290 6310 285 81.9 globlastp WNU96_H231 liquorice|gb171|FS241298_P1 3291 6311 285 81.9 globlastp WNU96_H232 liquorice|gb171|FS251321_P1 3292 6312 285 81.9 globlastp WNU96_H233 peanut|10v1|CO897522XX1_P1 3293 6313 285 81.8 globlastp WNU96_H234 pepper|12v1|BM063049XX1_P1 3294 6314 285 81.8 globlastp WNU96_H235 soybean|11v1|GLYMA02G04400 3295 6315 285 81.8 globlastp WNU96_H235 soybean|12v1|GLYMA02G04400_P1 3296 6315 285 81.8 globlastp WNU96_H236 gerbera|09v1|AJ754494_T1 3297 6316 285 81.63 glotblastn WNU96_H237 vinca|11v1|SRR098690X138305XX1 3298 6317 285 81.63 glotblastn WNU96_H394 prunus_mume|13v1|CV051773_P1 3299 6318 285 81.6 globlastp WNU96_H238 acacia|10v1|FS585541_P1 3300 6319 285 81.6 globlastp WNU96_H239 amsonia|11v1|SRR098688X113310_P1 3301 6320 285 81.6 globlastp WNU96_H240 antirrhinum|gb166|AJ786850_P1 3302 6321 285 81.6 globlastp WNU96_H241 apple|11v1|CN581999_P1 3303 6322 285 81.6 globlastp WNU96_H242 artemisia|10v1|EY031879_P1 3304 6323 285 81.6 globlastp WNU96_H243 b_juncca|12v1|E6ANDIZ01A83XD_P1 3305 6324 285 81.6 globlastp WNU96_H244 b_juncea|12v1|E6ANDIZ01AJ5DD_P1 3306 6325 285 81.6 globlastp WNU96_H245 b_juncca|12v1|E6ANDIZ01AL3QQ_P1 3307 6326 285 81.6 globlastp WNU96_H246 b_juncea|12v1|E6ANDIZ01D73PK_P1 3308 6327 285 81.6 globlastp WNU96_H247 b_oleracea|gb161|DY027359_P1 3309 6328 285 81.6 globlastp WNU96_H248 b_oleracea|gb161|DY028923_P1 3310 6329 285 81.6 globlastp WNU96_H249 canola|11v1|CN726337XX1_P1 3311 6324 285 81.6 globlastp WNU96_H250 centaurea|11v1|EH737154XX1_P1 3312 6330 285 81.6 globlastp WNU96_H251 centaurea|11v1|EH745871_P1 3313 6331 285 81.6 globlastp WNU96_H252 cirsium|11v1|SRR346952.110585_P1 3314 6332 285 81.6 globlastp WNU96_H253 clementine|11v1|CB291758_P1 3315 6333 285 81.6 globlastp WNU96_H254 clementine|11v11CV886204_P1 3316 6334 285 81.6 globlastp WNU96_H255 cleome_gynandra|10v1|SRR015532S0041884_P1 3317 6335 285 81.6 globlastp WNU96_H256 cotton|11v1|BE052292XX1_P1 3318 6336 285 81.6 globlastp WNU96_H257 cucumber|09v1|CF674910_P1 3319 6337 285 81.6 globlastp WNU96_H258 cucurbita|11v1|SRR091276X104293_P1 3320 6337 285 81.6 globlastp WNU96_H259 cucurbita|11v1|SRR091276X107888_P1 3321 6338 285 81.6 globlastp WNU96_H260 cucurbita|11v1|SRR091276X108131_P1 3322 6337 285 81.6 globlastp WNU96_H261 cynara|gb167|GE586291_P1 3323 6332 285 81.6 globlastp WNU96_H262 euonymus|11v1|SRR070038X112272_P1 3324 6339 285 81.6 globlastp WNU96_H263 euonymus|11v1|SRR070038X322834_P1 3325 6339 285 81.6 globlastp WNU96_H264 flaveria|11v1|SRR149232.127853_P1 3326 6340 285 81.6 globlastp WNU96_H265 gossypium_raimondii|12v1|BE052292_P1 3327 6336 285 81.6 globlastp WNU96_H266 guizotia|10v1|GE559073_P1 3328 6341 285 81.6 globlastp WNU96_H267 hornbeam|12v1|SRR364455.11856_P1 3329 6342 285 81.6 globlastp WNU96_H268 melon|10v;1|CF674910_P1 3330 6337 285 81.6 globlastp WNU96_H269 orobanche|10v1|SRR023189S0001498_P1 3331 6343 285 81.6 globlastp WNU96_H270 orobanche|10v1|SRR023189S0080494_P1 3332 6343 285 81.6 globlastp WNU96_H271 papaya|gb165|EX291945_P1 3333 6344 285 81.6 globlastp WNU96_H272 peanut|10v1|CD038392_P1 3334 6345 285 81.6 globlastp WNU96_H273 physcomitrella|10v1|BJ161027_P1 3335 6346 285 81.6 globlastp WNU96_H274 radish|gb164|EV545037 3336 6347 285 81.6 globlastp WNU96_H275 radish|gb164|EW725335 3337 6348 285 81.6 globlastp WNU96_H276 radish|gb164|FD529248 3338 6349 285 81.6 globlastp WNU96_H277 rose|12v1|BQ106054XX1 3339 6350 285 81.6 globlastp WNU96_H278 soybean|11v1|GLYMA05G02570 3340 6351 285 81.6 globlastp WNU96_H278 soybean|12v1|GLYMA05G02570_P1 3341 6351 285 81.6 globlastp WNU96_H279 strawberry|11v1|DV438988 3342 6352 285 81.6 globlastp WNU96_H280 strawberry|11v1|EX657357 3343 6353 285 81.6 globlastp WNU96_H281 tabernaemontana|11v1|SRR098689X104588 3344 6354 285 81.6 globlastp WNU96_H282 triphysaria|10v1|EX984214 3345 6355 285 81.6 globlastp WNU96_H283 triphysaria|10v1|EY008346 3346 6355 285 81.6 globlastp WNU96_H284 walnuts|gb166|CV195836 3347 6356 285 81.6 globlastp WNU96_H285 watermelon|11v1|DV632841 3348 6337 285 81.6 globlastp WNU96_H286 gnetum|10v1|DN955837_P1 3349 6357 285 81.5 globlastp WNU96_H287 rye|12v1|DRR001012.12244 3350 6358 285 81.5 globlastp WNU96_H288 tamarix|gb166|CF200068 3351 6359 285 81.5 globlastp WNU96_H289 euonymus|11v1|SRR070038X11633_P1 3352 6360 285 81.3 globlastp WNU96_H290 euonymus|11v1|SRR070038X139772_P1 3353 6361 285 81.3 globlastp WNU96_H291 pepper|12v1|AA840728_P1 3354 6362 285 81.3 globlastp WNU96_H292 tripterygium|11v1|SRR098677X105260 3355 6363 285 81.3 globlastp WNU96_H293 chickpea|11v1|GR402447XX1 3356 6364 285 81.2 globlastp WNU96_H293 chickpea|13v2|ES560331_P1 3357 6364 285 81.2 globlastp WNU96_H294 oil_palm|11v1|EL684166_P1 3358 6365 285 81.2 globlastp WNU96_H295 ipomoea_nil|10v1|BJ564015_P1 3359 6366 285 81.1 globlastp WNU96_H296 soybean|11v1|GLYMA01G03180 3360 6367 285 81.1 globlastp WNU96_H296 soybean|12v1|GLYMA01G03180_P1 3361 6367 285 81.1 globlastp WNU96_H395 soybean|12v1|GLYMA17G09280_P1 3362 6368 285 81 globlastp WNU96_H297 ambrosia|11v1|SRR346943.104466_P1 3363 6369 285 81 globlastp WNU96_H298 arabidopsis_lyrata|09v1|BQ834538_P1 3364 6370 285 81 globlastp WNU96_H299 arabidopsis_lyrata|09v1|JGIAL007298_P1 3365 6371 285 81 globlastp WNU96_H300 arabidopsis|10v1|AT1G23290_P1 3366 6372 285 81 globlastp WNU96_H301 arabidopsis|10v1|AT1G70600_P1 3367 6371 285 81 globlastp WNU96_H302 aristolochia|10v1|SRR039082S0197812_P1 3368 6373 285 81 globlastp WNU96_H303 aristolochia|10v1|SRR039082S0498980_P1 3369 6374 285 81 globlastp WNU96_H304 arnica|11v1|SRR099034X170873_P1 3370 6375 285 81 globlastp WNU96_H305 b_juncea|12v1|E6ANDIZ01ASPS4_P1 3371 6376 285 81 globlastp WNU96_H306 b_rapa|11v1|BQ791115_P1 3372 6377 285 81 globlastp WNU96_H307 b_rapa|11v1|CD812260_P1 3373 6378 285 81 globlastp WNU96_H308 beech|11v1|SRR006294.10896_P1 3374 6379 285 81 globlastp WNU96_H309 blueberry|12v1|SRR353282X15999D1_P1 3375 6380 285 81 globlastp WNU96_H310 cannabis|12v1|GR221832_P1 3376 6381 285 81 globlastp WNU96_H311 cassava|09v1|DV441380_P1 3377 6382 285 81 globlastp WNU96_H312 centaurea|11v1|EH751538_P1 3378 6383 285 81 globlastp WNU96_H313 cirsium|11v1|SRR346952.1023744_P1 3379 6383 285 81 globlastp WNU96_H314 cirsium|11v1|SRR349641.457773_P1 3380 6383 285 81 globlastp WNU96_H315 flaveria|11v1|SRR149241.191636_P1 3381 6384 285 81 globlastp WNU96_H316 grape|11v1|GSVIVT01004075001_P1 3382 6385 285 81 globlastp WNU96_H317 kiwi|gb166|FG432617_P1 3383 6386 285 81 globlastp WNU96_H318 orange|11v1|CB291758_P1 3384 6387 285 81 globlastp WNU96_H319 orobanche|10v1|SRR023189S0028718_P1 3385 6388 285 81 globlastp WNU96_H320 peanut|10v1|EG373102XX1_P1 3386 6389 285 81 globlastp WNU96_H321 peanut|10v1|ES717832_P1 3387 6390 285 81 globlastp WNU96_H322 prunus|10v1|CN445705 3388 6391 285 81 globlastp WNU96_H323 soybean|11v1|GLYMA17G09280 3389 6368 285 81 globlastp WNU96_H323 soybean|12v1|GLYMA17G09280T2_P1 3390 6368 285 81 globlastp WNU96_H324 sunflower|12v1|EL430773 3391 6392 285 81 globlastp WNU96_H325 thellungiella_halophilum|11v1|DN773413 3392 6371 285 81 globlastp WNU96_H326 thellungiella_halophilum|11v1|DN773986 3393 6393 285 81 globlastp WNU96_H327 thellungiella_parvulum|11v1|DN773413 3394 6394 285 81 globlastp WNU96_H328 thellungiella_parvulum|11v1|DN773986 3395 6395 285 81 globlastp WNU96_H329 triphysaria|10v1|BE574800 3396 6396 285 81 globlastp WNU96_H330 valeriana|11v1|SRR099039X109958 3397 6397 285 81 globlastp WNU96_H331 radish|gb164|EX772405 3398 6398 285 80.95 glotblastn WNU96_H332 spruce|11v1|SRR064180X118440 3399 6399 285 80.82 glotblastn WNU96_H333 fagopyrum|11v1|SRR063703X102046_P1 3400 6400 285 80.8 globlastp WNU96_H334 fern|gb171|BP916009_P1 3401 6401 285 80.8 globlastp WNU96_H335 marchantia|gb166|BJ843643_P1 3402 6402 285 80.8 globlastp WNU96_H336 marchantia|gb166|C95754_P1 3403 6403 285 80.8 globlastp WNU96_H337 taxus|10v1|SRR032523S0004042 3404 6404 285 80.8 globlastp WNU96_H338 curcuma|10v1|DY383806_P1 3405 6405 285 80.7 globlastp WNU96_H339 ginger|gb164|DY348420_P1 3406 6405 285 80.7 globlastp WNU96_H340 clover|gb162|BB931377_P1 3407 6406 285 80.5 globlastp WNU96_H341 blueberry|12v1|SRR353282X40202D1_P1 3408 6407 285 80.4 globlastp WNU96_H342 eggplant|10v1|FS001347_P1 3409 6408 285 80.4 globlastp WNU96_H343 ipomoea_batatas|10v1|BU690148_P1 3410 6409 285 80.4 globlastp WNU96_H344 pigeonpea|11v1|GW354286_P1 3411 6410 285 80.4 globlastp WNU96_H345 pigeonpea|11v1|SRR054580X108215_P1 3412 6411 285 80.4 globlastp WNU96_H346 tomato|11v1|BG126263 3413 6408 285 80.4 globlastp WNU96_H396 olea|13v1|SRR014463X26593D1_P1 3414 6412 285 80.3 globlastp WNU96_H347 arnica|11v1|SRR099034X110845_P1 3415 6413 285 80.3 globlastp WNU96_H348 beech|11v1|SRR006293.11638_P1 3416 6414 285 80.3 globlastp WNU96_H349 cassava|09v1|CK641743_P1 3417 6415 285 80.3 globlastp WNU96_H350 ceratodon|10v1|SRR074890S0020449_P1 3418 6416 285 80.3 globlastp WNU96_H351 ceratodon|10v1|SRR074890S0029921_P1 3419 6417 285 80.3 globlastp WNU96_H352 ceratodon|10v1|SRR074890S0064914_P1 3420 6416 285 80.3 globlastp WNU96_H353 cleome_spinosa|10v1|GR934531_P1 3421 6418 285 80.3 globlastp WNU96_H354 cotton|11v1|AI731642_P1 3422 6419 285 80.3 globlastp WNU96_H355 cotton|11v1|CO087199XX1_P1 3423 6419 285 80.3 globlastp WNU96_H356 gossypium_raimondii|12v1|AI731642_P1 3424 6419 285 80.3 globlastp WNU96_H357 hevea|10v1|EC600120_P1 3425 6420 285 80.3 globlastp WNU96_H358 humulus|11v1|ES654425_P1 3426 6421 285 80.3 globlastp WNU96_H359 lotus|09v1|AW428898_P1 3427 6422 285 80.3 globlastp WNU96_H360 physcomitrella|10v1|AW126626_P1 3428 6423 285 80.3 globlastp WNU96_H361 physcomitrella|10v1|AW126763_P1 3429 6424 285 80.3 globlastp WNU96_H362 physcomitrella|10v1|AW145241_P1 3430 6425 285 80.3 globlastp WNU96_H363 physcomitrella|10v1|AW561507_P1 3431 6426 285 80.3 globlastp WNU96_H364 soybean|11v1|GLYMA04G36140 3432 6427 285 80.3 globlastp WNU96_H364 soybean|12v1|GLYMA04G36140_P1 3433 6427 285 80.3 globlastp WNU96_H365 soybean|11v1|GLYMA06G18800 3434 6427 285 80.3 globlastp WNU96_H365 soybean|12v1|GLYMA06G18800_P1 3435 6427 285 80.3 globlastp WNU96_H366 tea|10v1|FE861453 3436 6428 285 80.3 globlastp WNU96_H367 triphysaria|10v1|EY132075 3437 6429 285 80.3 globlastp WNU96_H368 valeriana|11v1|SRR099039X100712 3438 6430 285 80.3 globlastp WNU96_H369 nasturtium|11v1|GH168713XX1_T1 3439 6431 285 80.27 glotblastn WNU96_H370 thalictrum|11v1|SRR096787X100084 3440 6432 285 80.27 glotblastn WNU96_H371 wheat|12v3|ERR125558X344920D1 3441 6433 285 80.27 glotblastn WNU96_H372 amborella|12v3|SRR038635.54053_P1 3442 6434 285 80.1 globlastp WNU96_H373 coffea|10v1|DV664105_P1 3443 6435 285 80.1 globlastp WNU96_H374 fagopyrum|11v1|SRR063689X1162_P1 3444 6436 285 80.1 globlastp WNU96_H375 fern|gb171|BP911784_P1 3445 6437 285 80.1 globlastp WNU96_H376 zamia|gb166|FD767255 3446 6438 285 80.1 globlastp WNU96_H377 lotus|09v1|BE122486_P1 3447 6439 285 80 globlastp WNU97_H23 switchgrass|12v1|DN141383_P1 3448 6440 286 93.9 globlastp WNU97_H1 switchgrass|gb167|DN141383 3449 6441 286 93.9 globlastp WNU97_H2 sorghum|12v1|SB04G030840 3450 6442 286 93.5 globlastp WNU97_H24 switchgrass|12v1|FL700367_P1 3451 6443 286 93.1 globlastp WNU97_H3 foxtail_millet|11v3|PHY7SI017105M_P1 3452 6444 286 93.1 globlastp WNU97_H4 foxtail_millet|11v3|PHY7SI017100M_P1 3453 6445 286 92.9 globlastp WNU97_H5 millet|10v1|EVO454PM029707_P1 3454 6446 286 92.9 globlastp WNU97_H6 sugarcane|10v1|BQ537415 3455 6447 286 92.2 globlastp WNU97_H7 rice|11v1|AU030834 3456 6448 286 91.8 globlastp WNU97_H8 maize|10v1|AI619236_P1 3457 6449 286 91.2 globlastp WNU97_H9 maize|10v1|AI395902_P1 3458 6450 286 90.4 globlastp WNU97_H10 brachypodium|12v1|BRADI3G52490_P1 3459 6451 286 88.5 globlastp WNU97_H11 brachypodium|12v1|BRADI3G52480_T1 3460 6452 286 88.05 glotblastn WNU97_H12 rye|12v1|DRR001012.374006 3461 6453 286 87.42 glotblastn WNU97_H13 brachypodium|12v1|BRADI4G20910_P1 3462 6454 286 87.4 globlastp WNU97_H14 wheat|12v3|BE398510 3463 6455 286 87.4 globlastp WNU97_H15 wheat|12v3|BE637843 3464 6456 286 87.4 globlastp WNU97_H16 barley|12v1|BI949877_P1 3465 6457 286 87.3 globlastp WNU97_H17 foxtail_millet|11v3|EC613380_P1 3466 6458 286 86.2 globlastp WNU97_H25 switchgrass|12v1|FE610507_P1 3467 6459 286 86 globlastp WNU97_H18 switchgrass|gb167|FE610507 3468 6459 286 86 globlastp WNU97_H19 rice|11v1|BE039832 3469 6460 286 85.6 globlastp WNU97_H20 barley|12v1|CB870420_P1 3470 6461 286 85.5 globlastp WNU97_H21 brachypodium|12v1|BRADI5G20500_P1 3471 6462 286 84.3 globlastp WNU97_H26 switchgrass|12v1|HO302712_P1 3472 6463 286 81.5 globlastp WNU97_H22 oil_palm|11v1|SRR190698.333_P1 3473 6464 286 81.5 globlastp WNU98_H1 sorghum|12v1|SB12V2PRD003639 3474 6465 287 97.7 globlastp WNU98_H3 maize|10v1|AI834458_P1 3475 6466 287 90.4 globlastp WNU98_H21 switchgrass|12v1|FL696742_P1 3476 6467 287 86.5 globlastp WNU98_H9 switchgrass|gb167|FL696742 3477 6468 287 86.5 globlastp WNU98_H11 brachypodium|12v1|BRADI3G36420T2_P1 3478 6469 287 83 globlastp WNU98_H17 millet|10v1|CD725866_P1 3479 6470 287 80.5 globlastp WNU98_H18 brachypodium|12v1|BRADI3G15400_P1 3480 6471 287 80.3 globlastp WNU100_H1 sugarcane|10v1|CA080221 3481 6472 289 97.3 globlastp WNU100_H2 maize|10v1|AI920330_P1 3482 6473 289 95.3 globlastp WNU100_H3 maize|10v1|AI372343_P1 3483 6474 289 92.4 globlastp WNU100_H21 switchgrass|12v1|DN145760_P1 3484 6475 289 92.2 globlastp WNU100_H4 foxtail_millet|11v3|PHY7SI022041M_P1 3485 6476 289 91.6 globlastp WNU100_H22 switchgrass|12v1|DN143054_P1 3486 6477 289 91.3 globlastp WNU100_H5 millet|10v1|EVO454PM004855_P1 3487 6478 289 89.5 globlastp WNU100_H6 rice|11v1|BE039691 3488 6479 289 85 globlastp WNU100_H7 brachypodium|12v1|BRADI2G27870T2_P1 3489 6480 289 84.8 globlastp WNU100_H8 switchgrass|gb167|FE607111 3490 6481 289 84.4 globlastp WNU100_H9 rye|12v1|BE438576 3491 6482 289 83.3 globlastp WNU100_H10 rye|12v1|BE587236 3492 6483 289 83 globlastp WNU100_H11 wheat|12v3|BE425285 3493 6484 289 82.4 globlastp WNU100_H12 oat|11v1|GO590964_P1 3494 6485 289 82 globlastp WNU100_H13 sugarcane|10v1|BU103330 3495 6486 289 81.4 globlastp WNU100_H14 sorghum|12v1|SB03G012980P1 3496 6487 289 81.2 globlastp WNU100_H15 rice|11v1|AF251077 3497 6488 289 80.9 globlastp WNU100_H16 maize|10v1|AW330985_P1 3498 6489 289 80.8 globlastp WNU100_H17 switchgrass|gb167|DN145169 3499 6490 289 80.5 globlastp WNU100_H23 switchgrass|12v1|FE614478_P1 3500 6491 289 80.3 globlastp WNU100_H18 brachypodium|12v1|BRADI2G11960_P1 3501 6492 289 80.2 globlastp WNU100_H19 foxtail_millet|11v3|EC613315_P1 3502 6493 289 80 globlastp WNU100_H20 switchgrass|gb167|FE614478 3503 6494 289 80 globlastp WNU101_H293 switchgrass|12v1|FL890785_P1 3504 290 290 100 globlastp WNU101_H1 foxtail_millet|11v3|PHY7SI037950M_P1 3505 290 290 100 globlastp WNU101_H2 maize|10v1|AI947327_P1 3506 290 290 100 globlastp WNU101_H3 rice|11v1|AA751811 3507 290 290 100 globlastp WNU101_H4 rice|11v1|BM422117 3508 290 290 100 globlastp WNU101_H5 sugarcane|10v1|CA078742 3509 290 290 100 globlastp WNU101_H6 sugarcane|10v1|CA094200 3510 290 290 100 globlastp WNU101_H7 switchgrass|gb167|FE627194 3511 290 290 100 globlastp WNU101_H8 switchgrass|gb167|FL890785 3512 290 290 100 globlastp WNU101_H294 prunus_mume|13v1|CV048453_P1 3513 6495 290 99.3 globlastp WNU101_H295 switchgrass|12v1|FE599229_P1 3514 6496 290 99.3 globlastp WNU101_H296 switchgrass|12v1|FE627193_P1 3515 6497 290 99.3 globlastp WNU101_H297 switchgrass|12v1|PVJGIV8034532_P1 3516 6496 290 99.3 globlastp WNU101_H9 cannabis|12v1|SOLX00003945_P1 3517 6498 290 99.3 globlastp WNU101_H10 cannabis|12v1|SOLX00046973_P1 3518 6498 290 99.3 globlastp WNU101_H11 cowpea|12v1|FC457960_P1 3519 6498 290 99.3 globlastp WNU101_H12 cynodon|10v1|ES299130_P1 3520 6499 290 99.3 globlastp WNU101_H13 foxtail_millet|11v3|PHY7SI015422M_P1 3521 6500 290 99.3 globlastp WNU101_H14 humulus|11v1|ES652347_P1 3522 6498 290 99.3 globlastp WNU101_H15 millet|10v1|EVO454PM082379_P1 3523 6501 290 99.3 globlastp WNU101_H16 millet|10v1|EVO454PM092592_P1 3524 6502 290 99.3 globlastp WNU101_H17 oil_palm|11v1|EL563746_T1 3525 6503 290 99.3 glotblastn WNU101_H18 prunus|10v1|CB821190 3526 6495 290 99.3 globlastp WNU101_H19 switchgrass|gb167|FE599229 3527 6496 290 99.3 globlastp WNU101_H20 switchgrass|gb167|FE627193 3528 6497 290 99.3 globlastp WNU101_H298 bean|12v2|SRR001334.110465_P1 3529 6504 290 98.6 globlastp WNU101_H299 castorbean|12v1|AM267346_P1 3530 6505 290 98.6 globlastp WNU101_H300 olea|13v1|SRR596004X17743D1_P1 3531 6506 290 98.6 globlastp WNU101_H301 soybean|12v1|FG996914_P1 3532 6505 290 98.6 globlastp WNU101_H21 amborella|12v3|CV001469_P1 3533 6505 290 98.6 globlastp WNU101_H22 amsonia|11v1|SRR098688X107015_P1 3534 6507 290 98.6 globlastp WNU101_H23 banana|12v1|BBS767T3_P1 3535 6505 290 98.6 globlastp WNU101_H24 banana|12v1|GFXAC186753X5_P1 3536 6505 290 98.6 globlastp WNU101_H25 basilicum|10v1|DY323195XX1_P1 3537 6508 290 98.6 globlastp WNU101_H26 basilicum|10v1|DY323761_P1 3538 6508 290 98.6 globlastp WNU101_H27 bean|12v1|SRR001334.110465 3539 6504 290 98.6 globlastp WNU101_H28 beet|12v1|DN911504_P1 3540 6509 290 98.6 globlastp WNU101_H29 cacao|10v1|CF973092_P1 3541 6505 290 98.6 globlastp WNU101_H30 cannabis|12v1|SOLX00000646_P1 3542 6510 290 98.6 globlastp WNU101_H32 catharanthus|11v1|EG556080_P1 3543 6509 290 98.6 globlastp WNU101_H33 cleome_gynandral|10v1|SRR015532S0005602_P1 3544 6505 290 98.6 globlastp WNU101_H34 cyamopsis|10v1|EG975384_P1 3545 6505 290 98.6 globlastp WNU101_H35 cynodon|10v1|ES301623_P1 3546 6511 290 98.6 globlastp WNU101_H36 eggplant|10v1|FS036156_P1 3547 6506 290 98.6 globlastp WNU101_H37 eucalyptus|11v2|CD668709_P1 3548 6505 290 98.6 globlastp WNU101_H38 euphorbia|11v1|BG409394_P1 3549 6505 290 98.6 globlastp WNU101_H39 fagopyrum|11v1|SRR063689X10256_P1 3550 6512 290 98.6 globlastp WNU101_H40 fagopyrum|11v1|SRR063703X114483_P1 3551 6512 290 98.6 globlastp WNU101_H41 grape|11v1|GSVIVT01018060001_P1 3552 6505 290 98.6 globlastp WNU101_H42 iceplant|gb164|BE577228_P1 3553 6513 290 98.6 globlastp WNU101_H43 ipomoea_nil|10v1|BJ555713_P1 3554 6504 290 98.6 globlastp WNU101_H44 kiwi|gb166|FG410882_P1 3555 6514 290 98.6 globlastp WNU101_H45 periwinkle|gb164|EG556080_P1 3556 6509 290 98.6 globlastp WNU101_H46 phyla|11v2|SRR099035X135285_P1 3557 6514 290 98.6 globlastp WNU101_H47 pigeonpea|11v1|GR471946_P1 3558 6505 290 98.6 globlastp WNU101_H48 plantago|11v2|SRR066373X108968_P1 3559 6512 290 98.6 globlastp WNU101_H49 platanus|11v1|SRR096786X100429_P1 3560 6509 290 98.6 globlastp WNU101_H50 platanus|11v1|SRR096786X132286_P1 3561 6509 290 98.6 globlastp WNU101_H51 poplar|10v1|AI162529 3562 6505 290 98.6 globlastp WNU101_H51 poplar|13v1|AI162529_P1 3563 6505 290 98.6 globlastp WNU101_H52 silene|11v1|SRR096785X10232 3564 6515 290 98.6 globlastp WNU101_H53 silene|11v1|SRR096785X137191 3565 6515 290 98.6 globlastp WNU101_H54 soybean|11v1|GLYMA09G42010 3566 6505 290 98.6 globlastp WNU101_H54 soybean|12v1|GLYMA09G42010_P1 3567 6505 290 98.6 globlastp WNU101_H55 soybean|11v1|GLYMA19G28850 3568 6505 290 98.6 globlastp WNU101_H55 soybean|12v1|GLYMA19G28850_P1 3569 6505 290 98.6 globlastp WNU101_H56 spurge|gb161|BG409394 3570 6505 290 98.6 globlastp WNU101_H57 tabernaemontana|11v1|SRR098689X110144 3571 6509 290 98.6 globlastp WNU101_H58 utricularia|11v1|SRR094438.112676 3572 6516 290 98.6 globlastp WNU101_H302 monkeyflower|12v1|DV206684_P1 3573 6517 290 97.9 globlastp WNU101_H303 monkeyflower|12v1|MGJGI003701_P1 3574 6518 290 97.9 globlastp WNU101_H304 prunus_mume|13v1|CB821190_P1 3575 6519 290 97.9 globlastp WNU101_H59 ambrosia|11v1|SRR346935.498332_P1 3576 6520 290 97.9 globlastp WNU101_H60 avocado|10v1|CO996154_P1 3577 6521 290 97.9 globlastp WNU101_H61 blueberry|12v1|CV191461_P1 3578 6522 290 97.9 globlastp WNU101_H62 blueberry|12v1|SRR353282X26281D1_P1 3579 6522 290 97.9 globlastp WNU101_H63 cassava|09v1|CK641842_P1 3580 6521 290 97.9 globlastp WNU101_H64 chestnut|gb170|SRR006295S0005679_P1 3581 6523 290 97.9 globlastp WNU101_H65 chickpea|11v1|FE669803 3582 6521 290 97.9 globlastp WNU101_H65 chickpea|13v2|FE669803_P1 3583 6521 290 97.9 globlastp WNU101_H66 cichorium|gb171|EH696302_P1 3584 6524 290 97.9 globlastp WNU101_H67 cleome_spinosa|10v1|SRR015531S0000807_P1 3585 6521 290 97.9 globlastp WNU101_H68 cotton|11v1|BE055159_P1 3586 6521 290 97.9 globlastp WNU101_H69 cotton|11v1|CO098243_P1 3587 6521 290 97.9 globlastp WNU101_H70 dandelion|10v1|DR399422_P1 3588 6524 290 97.9 globlastp WNU101_H71 eschscholzia|11v1|SRR014116.103261_P1 3589 6521 290 97.9 globlastp WNU101_H72 euphorbia|11v1|SRR098678X147242_P1 3590 6525 290 97.9 globlastp WNU101_H73 flaveria|11v1|SRR149229.1128_P1 3591 6524 290 97.9 globlastp WNU101_H74 flaveria|11v1|SRR149232.114130_P1 3592 6524 290 97.9 globlastp WNU101_H75 flaveria|11v1|SRR149232.175301_P1 3593 6524 290 97.9 globlastp WNU101_H76 flaveria|11v1|SRR149232.193194_P1 3594 6524 290 97.9 globlastp WNU101_H77 flaveria|11v1|SRR149238.143076_P1 3595 6524 290 97.9 globlastp WNU101_H78 flaveria|11v1|SRR149244.127484_P1 3596 6524 290 97.9 globlastp WNU101_H79 gerbera|09v1|AJ751817_P1 3597 6524 290 97.9 globlastp WNU101_H80 gossypium_raimondii|12v1|BE055159_P1 3598 6521 290 97.9 globlastp WNU101_H81 hevea|10v1|EC605962_P1 3599 6521 290 97.9 globlastp WNU101_H82 jatropha|09v1|GT229106_P1 3600 6526 290 97.9 globlastp WNU101_H83 lettuce|12v1|DW062812_P1 3601 6524 290 97.9 globlastp WNU101_H84 liquorice|gb171|FS244248_P1 3602 6521 290 97.9 globlastp WNU101_H85 liriodendron|gb166|CO995509_P1 3603 6521 290 97.9 globlastp WNU101_H86 melon|10v1|DV631514_P1 3604 6521 290 97.9 globlastp WNU101_H87 momordica|10v1|SRR071315S0002724_P1 3605 6521 290 97.9 globlastp WNU101_H88 monkeyflower|10v1|DV206684 3606 6517 290 97.9 globlastp WNU101_H89 oak|10v1|FP025535_P1 3607 6523 290 97.9 globlastp WNU101_H90 oak|10v1|FP040425_P1 3608 6523 290 97.9 globlastp WNU101_H91 papaya|gb165|EX260690_P1 3609 6527 290 97.9 globlastp WNU101_H92 peanut|10v1|ES715587_P1 3610 6521 290 97.9 globlastp WNU101_H93 petunia|gb171|DC240537_P1 3611 6528 290 97.9 globlastp WNU101_H94 primula|11v1|SRR098679X118382_P1 3612 6529 290 97.9 globlastp WNU101_H95 prunus|10v1|BF717180 3613 6519 290 97.9 globlastp WNU101_H96 sarracenia|11v1|SRR192669.118427 3614 6530 290 97.9 globlastp WNU101_H97 sunflower|12v1|CD847531 3615 6524 290 97.9 globlastp WNU101_H98 sunflower|12v1|EE651498 3616 6524 290 97.9 globlastp WNU101_H99 sunflower|12v1|EE657167XX1 3617 6524 290 97.9 globlastp WNU101_H100 thellungiella_halophilum|11v1|BM985553 3618 6521 290 97.9 globlastp WNU101_H101 thellungiella_halophilum|11v1|DN778887 3619 6521 290 97.9 globlastp WNU101_H102 tragopogon|10v1|SRR020205S0042330 3620 6524 290 97.9 globlastp WNU101_H103 valeriana|11v1|SRR099039X102759 3621 6531 290 97.9 globlastp WNU101_H104 watermelon|11v1|AM715146 3622 6521 290 97.9 globlastp WNU101_H305 nicotiana_benthamiana|12v1|CN741539_P1 3623 6532 290 97.2 globlastp WNU101_H306 olea|13v1|SRR014466X64437D1_P1 3624 6533 290 97.2 globlastp WNU101_H105 aquilegia|10v2|JGIAC002127_P1 3625 6534 290 97.2 globlastp WNU101_H106 arabidopsis_lyrata|09v1|JGIAL020514_P1 3626 6535 290 97.2 globlastp WNU101_H107 arabidopsis|10v1|AT5G08290_P1 3627 6536 290 97.2 globlastp WNU101_H108 banana|12v1|BBS821T3_P1 3628 6537 290 97.2 globlastp WNU101_H109 brachypodium|12v1|BRADI2G20230_P1 3629 6538 290 97.2 globlastp WNU101_H110 cassava|09v1|DV442374_P1 3630 6539 290 97.2 globlastp WNU101_H111 chelidonium|11v1|SRR084752X111705_P1 3631 6540 290 97.2 globlastp WNU101_H112 clementine|11v1|CB293969_P1 3632 6541 290 97.2 globlastp WNU101_H113 cleome_gynandra|10v1|SRR015532S0011342_P1 3633 6542 290 97.2 globlastp WNU101_H114 cleome_spinosa|10v1|GR931475_P1 3634 6543 290 97.2 globlastp WNU101_H115 cucumber|09v1|DV631514_P1 3635 6544 290 97.2 globlastp WNU101_H116 flaveria|11v1|SRR149229.15567_P1 3636 6545 290 97.2 globlastp WNU101_H117 flaveria|11v1|SRR149232.130294_P1 3637 6546 290 97.2 globlastp WNU101_H118 gerbera|09v1|AJ751066_P1 3638 6547 290 97.2 globlastp WNU101_H119 leymus|gb166|EG375649_P1 3639 6548 290 97.2 globlastp WNU101_H120 lotus|09v1|LLBW596117_P1 3640 6549 290 97.2 globlastp WNU101_H121 monkeyflower|10v1|GO986033 3641 6550 290 97.2 glotblastn WNU101_H122 nicotiana_benthamiana|gb162|CN741539 3642 6532 290 97.2 globlastp WNU101_H123 nuphar|gb166|CD474407_P1 3643 6551 290 97.2 globlastp WNU101_H124 oat|11v1|GR356084_P1 3644 6538 290 97.2 globlastp WNU101_H125 olea|11v1|SRR014463.12122 3645 6533 290 97.2 globlastp WNU101_H125 olea|13v1|SRR014463X12122D1_P1 3646 6533 290 97.2 globlastp WNU101_H126 olea|11v1|SRR014463.6941 3647 6533 290 97.2 globlastp WNU101_H127 orange|11v1|CB293969_P1 3648 6541 290 97.2 globlastp WNU101_H128 orobanche|10v1|SRR023189S0011862_P1 3649 6552 290 97.2 globlastp WNU101_H129 petunia|gb171|DY395476_P1 3650 6532 290 97.2 globlastp WNU101_H130 poppy|11v1|FE965510_P1 3651 6535 290 97.2 globlastp WNU101_H131 poppy|11v1|FE968162_P1 3652 6535 290 97.2 globlastp WNU101_H132 poppy|11v1|SRR030259.140845_P1 3653 6535 290 97.2 globlastp WNU101_H133 poppy|11v1|SRR096789.129001_P1 3654 6535 290 97.2 globlastp WNU101_H134 potato|10v1|BG598825_P1 3655 6532 290 97.2 globlastp WNU101_H135 rose|12v1|BQ104850 3656 6553 290 97.2 globlastp WNU101_H136 rye|12v1|DRR001012.152837 3657 6548 290 97.2 globlastp WNU101_H137 scabiosa|11v1|SRR063723X100235 3658 6554 290 97.2 globlastp WNU101_H138 solanum_phureja|09v1|SPHBG133499 3659 6532 290 97.2 globlastp WNU101_H139 strawberry|11v1|CO381722 3660 6553 290 97.2 globlastp WNU101_H140 sunflower|12v1|BU672024 3661 6555 290 97.2 globlastp WNU101_H141 sunflower|12v1|CF085521 3662 6556 290 97.2 globlastp WNU101_H142 switchgrass|gb167|FE640147 3663 6557 290 97.2 globlastp WNU101_H143 tea|10v1|DY523280 3664 6558 290 97.2 globlastp WNU101_H144 tobacco|gb162|CV020574 3665 6532 290 97.2 globlastp WNU101_H145 tobacco|gb162|DW004387 3666 6559 290 97.2 globlastp WNU101_H146 tomato|11v1|BG133499 3667 6532 290 97.2 globlastp WNU101_H147 watermelon|11v1|VMEL06624730052175 3668 6544 290 97.2 globlastp WNU101_H148 wheat|12v3|BE516783 3669 6548 290 97.2 globlastp WNU101_H149 amorphophallus|11v2|SRR089351X183516_T1 3670 6560 290 97.18 glotblastn WNU101_H150 flaveria|11v1|SRR149229.223003_T1 3671 6561 290 97.18 glotblastn WNU101_H151 flaveria|11v1|SRR149229.348878XX1_T1 3672 6562 290 97.18 glotblastn WNU101_H152 abies|11v2|SRR098676X118115_P1 3673 6563 290 96.5 globlastp WNU101_H153 ambrosia|11v1|SRR346943.100935_P1 3674 6564 290 96.5 globlastp WNU101_H154 antirrhinum|gb166|AJ806089_P1 3675 6565 290 96.5 globlastp WNU101_H155 b_juncea|12v1|E6ANDIZ01B6RJK_P1 3676 6566 290 96.5 globlastp WNU101_H156 b_juncea|12v1|E6ANDIZ01BM0LN_P1 3677 6566 290 96.5 globlastp WNU101_H157 b_oleracea|gb161|DY023458_P1 3678 6566 290 96.5 globlastp WNU101_H158 b_rapa|11v1|CD830767_P1 3679 6566 290 96.5 globlastp WNU101_H159 barley|12v1|BE422314_P1 3680 6567 290 96.5 globlastp WNU101_H160 beech|11v1|SRR006293.28635_P1 3681 6568 290 96.5 globlastp WNU101_H161 bupleurum|11v1|SRR301254.104295_P1 3682 6569 290 96.5 globlastp WNU101_H162 canola|11v1|CN730207_P1 3683 6566 290 96.5 globlastp WNU101_H163 centaurea|11v1|EH752544_P1 3684 6570 290 96.5 globlastp WNU101_H164 cirsium|11v1|SRR346952.1007521_P1 3685 6570 290 96.5 globlastp WNU101_H165 cirsium|11v1|SRR346952.103291_P1 3686 6570 290 96.5 globlastp WNU101_H166 cirsium|11v1|SRR349641.102618_P1 3687 6570 290 96.5 globlastp WNU101_H167 coffea|10v1|DV664615_P1 3688 6571 290 96.5 globlastp WNU101_H168 cucurbita|11v1|SRR091276X10160_P1 3689 6572 290 96.5 globlastp WNU101_H169 distylium|11v1|SRR065077X11672_P1 3690 6573 290 96.5 globlastp WNU101_H170 fescue|gb161|DT678464_P1 3691 6567 290 96.5 globlastp WNU101_H171 flax|11v1|EU830158_P1 3692 6574 290 96.5 globlastp WNU101_H172 flax|11v1|GW864378_P1 3693 6574 290 96.5 globlastp WNU101_H173 fraxinus|11v1|SRR058827.118876_P1 3694 6575 290 96.5 globlastp WNU101_H174 ginger|gb164|DY345152_P1 3695 6563 290 96.5 globlastp WNU101_H175 gossypium_raimondii|12v1|SRR032877.152174_P1 3696 6576 290 96.5 globlastp WNU101_H176 lotus|09v1|BI417743_P1 3697 6577 290 96.5 globlastp WNU101_H177 medicago|12v1|AJ388790_P1 3698 6563 290 96.5 globlastp WNU101_H178 oat|11v1|CN819608_P1 3699 6567 290 96.5 globlastp WNU101_H179 oat|11v1|GO592755_P1 3700 6567 290 96.5 globlastp WNU101_H180 onion|12v1|SRR073446X1027D1_P1 3701 6578 290 96.5 globlastp WNU101_H181 onion|12v1|SRR073446X107895D1_P1 3702 6578 290 96.5 globlastp WNU101_H182 phalaenopsis|11v1|CB033892_P1 3703 6579 290 96.5 globlastp WNU101_H183 phylap|11v2|SRR099037X110675_P1 3704 6580 290 96.5 globlastp WNU101_H184 pine|10v2|AW226051_P1 3705 6563 290 96.5 globlastp WNU101_H185 pine|10v2|BM157567_P1 3706 6563 290 96.5 globlastp WNU101_H186 pseudoroegneria|gb167|FF344285 3707 6567 290 96.5 globlastp WNU101_H187 pseudoroegneria|gb167|FF360594 3708 6581 290 96.5 globlastp WNU101_H188 pseudotsuga|10v1|SRR065119S0012174 3709 6563 290 96.5 globlastp WNU101_H189 radish|gb164|EV526928 3710 6566 290 96.5 globlastp WNU101_H190 radish|gb164|EV536846 3711 6566 290 96.5 globlastp WNU101_H191 radish|gb164|EV546061 3712 6566 290 96.5 globlastp WNU101_H192 radish|gb164|EV552595 3713 6566 290 96.5 globlastp WNU101_H193 radish|gb164|EW715626 3714 6566 290 96.5 globlastp WNU101_H194 radish|gb164|EW718137 3715 6566 290 96.5 globlastp WNU101_H195 radish|gb164|EX754496 3716 6566 290 96.5 globlastp WNU101_H196 radish|gb164|FD967082 3717 6566 290 96.5 globlastp WNU101_H197 rye|12v1|DRR001012.107996 3718 6567 290 96.5 globlastp WNU101_H198 rye|12v1|DRR001012.271505 3719 6567 290 96.5 globlastp WNU101_H199 rye|12v1|DRR001012.273776 3720 6567 290 96.5 globlastp WNU101_H200 rye|12v1|DRR001012.316946 3721 6567 290 96.5 globlastp WNU101_H201 salvia|10v1|CV170127 3722 6580 290 96.5 globlastp WNU101_H202 sciadopitys|10v1|SRR065035S0010777 3723 6573 290 96.5 globlastp WNU101_H203 solanum_phureja|09v1|SPHBG129871 3724 6582 290 96.5 globlastp WNU101_H204 spruce|11v1|ES248362 3725 6563 290 96.5 globlastp WNU101_H205 strawberry|11v1|CX661524 3726 6583 290 96.5 globlastp WNU101_H206 thalictrum|11v1|SRR096787X139137 3727 6584 290 96.5 globlastp WNU101_H207 thellungiella_parvulum|11v1|BM985553 3728 6585 290 96.5 globlastp WNU101_H208 tomato|11v1|BG129871 3729 6586 290 96.5 globlastp WNU101_H209 trigonella|11v1|SRR066194X128110 3730 6563 290 96.5 globlastp WNU101_H210 tripterygium|11v1|SRR098677X100265 3731 6563 290 96.5 globlastp WNU101_H211 vinca|11v1|SRR098690X110755 3732 6587 290 96.5 globlastp WNU101_H212 wheat|12v3|BE399722 3733 6567 290 96.5 globlastp WNU101_H213 zostera|10v1|AM771035 3734 6588 290 96.5 globlastp WNU101_H214 bupleurum|11v1|SRR301254.104964_T1 3735 6589 290 96.48 glotblastn WNU101_H215 cedrus|11v1|SRR065007X138898_T1 3736 6590 290 96.48 glotblastn WNU101_H216 cotton|11v1|SRR032799.218046_T1 3737 6591 290 96.48 glotblastn WNU101_H217 fraxinus|11v1|SRR058827.139368_T1 3738 6592 290 96.48 glotblastn WNU101_H218 poppy|11v1|SRR030259.109854_T1 3739 6593 290 96.48 glotblastn WNU101_H219 b_juncea|12v1|E6ANDIZ01A7FXP_P1 3740 6594 290 95.8 globlastp WNU101_H220 cenchrus|gb166|EB654842_P1 3741 6595 290 95.8 globlastp WNU101_H221 cephalotaxus|11v1|SRR064395X104976_P1 3742 6596 290 95.8 globlastp WNU101_H222 cryptomeria|gb166|BP173808_P1 3743 6597 290 95.8 globlastp WNU101_H223 euonymus|11v1|SRR070038X107379_P1 3744 6598 290 95.8 globlastp WNU101_H224 euonymus|11v1|SRR070038X122208_P1 3745 6598 290 95.8 globlastp WNU101_H225 euonymus|11v1|SRR070038X167324_P1 3746 6598 290 95.8 globlastp WNU101_H226 euonymus|11v1|SRR070038X303898_P1 3747 6598 290 95.8 globlastp WNU101_H227 guizotia|10v1|GE561377_P1 3748 6599 290 95.8 globlastp WNU101_H228 medicago|12v1|AL379466_P1 3749 6600 290 95.8 globlastp WNU101_H229 pepper|12v1|GD060357_P1 3750 6601 290 95.8 globlastp WNU101_H230 sequoia|10v1|SRR065044S0003965 3751 6597 290 95.8 globlastp WNU101_H231 trigonella|11v1|SRR066194X132286 3752 6600 290 95.8 globlastp WNU101_H232 triphysaria|10v1|DR174156 3753 6602 290 95.8 globlastp WNU101_H233 triphysaria|10v1|DR174471 3754 6602 290 95.8 globlastp WNU101_H234 ambrosia|11v1|SRR346935.266437_T1 3755 6603 290 95.77 glotblastn WNU101_H235 fraxinus|11v1|SRR058827.101637_T1 3756 6604 290 95.77 glotblastn WNU101_H307 bean|12v2|CA911930_T1 3757 6605 290 95.1 glotblastn WNU101_H236 b_oleracea|gb161|DY019123_P1 3758 6606 290 95.1 globlastp WNU101_H238 guizotia|10v1|GE555178_P1 3759 6607 290 95.1 globlastp WNU101_H239 nasturtium|11v1|GH170206_P1 3760 6608 290 95.1 globlastp WNU101_H240 nasturtium|11v1|SRR032558.142872_P1 3761 6608 290 95.1 globlastp WNU101_H241 pigeonpea|11v1|SRR054580X166585_P1 3762 6609 290 95.1 globlastp WNU101_H242 podocarpus|10v1|SRR065014S0029356_P1 3763 6610 290 95.1 globlastp WNU101_H243 taxus|10v1|SRR032523S0009023 3764 6611 290 95.1 globlastp WNU101_H244 vinca|11v1|SRR098690X103143 3765 6612 290 95.1 globlastp WNU101_H245 gnetum|10v1|SRR064399S0043656_T1 3766 6613 290 95.07 glotblastn WNU101_H246 onion|12v1|SRR073446X168589D1_T1 3767 6614 290 95.07 glotblastn WNU101_H247 aquilegia|10v2|JGIAC002827_P1 3768 6615 290 94.4 globlastp WNU101_H248 arnica|11v1|SRR099034X106017_P1 3769 6616 290 94.4 globlastp WNU101_H249 ceratodon|10v1|SRR074890S0096822_P1 3770 6617 290 94.4 globlastp WNU101_H250 cotton|11v1|SRR032368.104563_P1 3771 6618 290 94.4 globlastp WNU101_H251 physcomitrella|10v1|BJ157579_P1 3772 6617 290 94.4 globlastp WNU101_H252 pteridium|11v1|SRR043594X101280 3773 6619 290 94.4 globlastp WNU101_H253 pteridium|11v1|SRR043594X144633 3774 6620 290 94.4 globlastp WNU101_H254 artemisia|10v1|EY036412_T1 3775 6621 290 94.37 glotblastn WNU101_H308 zostera|12v1|SRR057351X120093D1_P1 3776 6622 290 93.7 globlastp WNU101_H255 marchantia|gb166|BJ841020_P1 3777 6623 290 93.7 globlastp WNU101_H256 medicago|12v1|XM_003607213_P1 3778 6624 290 93.7 globlastp WNU101_H257 brachypodium|12v1|BRADI5G26987_P1 3779 6625 290 92.3 globlastp WNU101_H258 epimedium|11v1|SRR013502.28172_P1 3780 6626 290 92.3 globlastp WNU101_H309 zostera|12v1|SRR057351X155005D1_P1 3781 6627 290 91.5 globlastp WNU101_H259 brachypodium|12v1|BRADI2G61080_P1 3782 6628 290 91.5 globlastp WNU101_H260 senecio|gb170|DY661572 3783 6629 290 91.1 globlastp WNU101_H261 maritime_pine|10v1|AL751085_P1 3784 6630 290 91 globlastp WNU101_H262 brachypodium|12v1|BRADI5G26970_P1 3785 6631 290 90.8 globlastp WNU101_H263 b_rapa|11v1|CD817247_T1 3786 6632 290 90.14 glotblastn WNU101_H264 brachypodium|12v1|BRADI2G62110_P1 3787 6633 290 90.1 globlastp WNU101_H265 safflower|gb162|EL390885 3788 6634 290 89.7 globlastp WNU101_H266 peanut|10v1|GO334384_T1 3789 6635 290 88.82 glotblastn WNU101_H310 volvox|12v1|FD808894_P1 3790 6636 290 88 globlastp WNU101_H267 cirsium|11v1|SRR346952.614503_P1 3791 6637 290 88 globlastp WNU101_H268 mesostigma|gb166|DN254740_P1 3792 6638 290 88 globlastp WNU101_H269 volvox|gb162|CBGZ13922FWD 3793 6636 290 88 globlastp WNU101_H270 cirsium|11v1|SRR349641.1172450_P1 3794 6639 290 87.8 globlastp WNU101_H271 medicago|12v1|MTPRD023853_T1 3795 6640 290 87.42 glotblastn WNU101_H311 soybean|12v1|GLYMA11G10560_P1 3796 6641 290 87.3 globlastp WNU101_H272 spikemoss|gb165|FE439447 3797 6642 290 87.3 globlastp WNU101_H273 pepper|12v1|SRR203275X23113D1_P1 3798 6643 290 86.7 globlastp WNU101_H274 cannabis|12v1|SOLX00030512_T1 3799 6644 290 86.62 glotblastn WNU101_H275 clover|gb162|BB917276_P1 3800 6645 290 86.6 globlastp WNU101_H276 oat|11v1|CN820466_P1 3801 6646 290 85.9 globlastp WNU101_H277 aquilegia|10v2|JGIAC008410_P1 3802 6647 290 85.2 globlastp WNU101_H278 chlamydomonas|gb162|AV623913_P1 3803 6648 290 85.2 globlastp WNU101_H279 maritime_pine|10v1|SRR073317S0022071_P1 3804 6649 290 84 globlastp WNU101_H280 poppy|11v1|SRR096789.155178_P1 3805 6650 290 83.8 globlastp WNU101_H281 spruce|11v1|SRR066110X1234 3806 6651 290 83.8 globlastp WNU101_H282 silene|11v1|SRR096785X28894 3807 6652 290 83.1 globlastp WNU101_H283 ostreococcus|gb162|XM001420623_P1 3808 6653 290 82.4 globlastp WNU101_H284 scabiosa|11v1|SRR063723X106819 3809 6654 290 82.4 globlastp WNU101_H285 spruce|11v1|SRR066110X156724 3810 6655 290 82.4 globlastp WNU101_H286 fern|gb171|DK949164_T1 3811 6656 290 82.39 glotblastn WNU101_H287 rhizophora|10v1|SRR005793S0032422 3812 6657 290 82.3 globlastp WNU101_H288 cucumber|09v1|AM715146_P1 3813 6658 290 82.2 globlastp WNU101_H289 cassava|09v1|DB928964_T1 3814 6659 290 81.55 glotblastn WNU101_H290 tamarix|gb166|EH053611 3815 6660 290 81 globlastp WNU101_H291 ginseng|10v1|GR874635_P1 3816 6661 290 80.3 globlastp WNU101_H292 conyza|10v1|SRR035294S0005061_T1 3817 6662 290 80.28 glotblastn WNU102_H1 pseudoroegneria|gb167|FF359580 3818 6663 291 95.8 globlastp WNU102_H2 rye|12v1|BE705366 3819 6664 291 94.1 globlastp WNU102_H3 rye|12v1|DRR001012.104065 3820 6665 291 93.3 globlastp WNU102_H4 rye|12v1|DRR001012.20624 3821 6666 291 93.3 globlastp WNU102_H5 rye|12v1|DRR001012.544828 3822 6665 291 93.3 globlastp WNU103_H1 wheat|12v3|BQ236960 3823 6667 292 96.6 glotblastn WNU103_H2 rye|12v1|DRR001012.118432 3824 6668 292 95.99 glotblastn WNU103_H3 barley|12v1|AV932859_T1 3825 6669 292 95.83 glotblastn WNU103_H4 wheat|12v3|BJ270163 3826 6670 292 95.52 glotblastn WNU103_H5 wheat|12v3|BQ161926 3827 6671 292 95.52 glotblastn WNU103_H6 wheat|12v3|BM137647 3828 6672 292 92.1 globlastp WNU103_H7 brachypodium|12v1|BRADI1G16770_T1 3829 6673 292 89.37 glotblastn WNU103_H8 oat|11v1|GO591581_P1 3830 6674 292 87.4 globlastp WNU103_H9 wheat|12v3|BE497973 3831 6675 292 86.6 globlastp WNU103_H10 foxtail_millet|11v3|PHY7SI028842M_T1 3832 6676 292 85.36 glotblastn WNU103_H12 millet|10v1|EVO454PM008851_T1 3833 6677 292 84.9 glotblastn WNU103_H13 sorghum|12v1|SB02G002970 3834 6678 292 84.28 glotblastn WNU103_H14 maize|10v1|AI891217_T1 3835 6679 292 83.51 glotblastn WNU104_H1 sorghum|12v1|SB02G039640 3836 6680 293 97.6 globlastp WNU104_H2 sugarcane|10v1|CA091213 3837 6681 293 96.5 globlastp WNU104_H3 switchgrass|gb167|DN141143 3838 6682 293 95 globlastp WNU104_H4 foxtail_millet|11v3|PHY7SI030417M_P1 3839 6683 293 94.7 globlastp WNU104_H5 millet|10v1|EVO454PM007449_P1 3840 6684 293 94.1 globlastp WNU104_H6 switchgrass|gb167|FE635872 3841 6685 293 93.8 globlastp WNU104_H30 switchgrass|12v1|DN141143_P1 3842 6686 293 93.5 globlastp WNU104_H8 brachypodium|12v1|BRADI1G21310_P1 3843 6687 293 90.3 globlastp WNU104_H11 wheat|12v3|AL829503 3844 6688 293 89.7 globlastp WNU104_H12 wheat|12v3|BE499735 3845 6689 293 89.7 globlastp WNU104_H13 oat|11v1|GR315509_T1 3846 6690 293 88.86 glotblastn WNU104_H14 sugarcane|10v1|CA110280 3847 6691 293 87.4 globlastp WNU104_H17 millet|10v1|EVO454PM003756_P1 3848 6692 293 86 globlastp WNU104_H18 foxtail_millet|11v3|PHY7SI036041M_P1 3849 6693 293 85.8 globlastp WNU104_H31 switchgrass|12v1|FL792794_P1 3850 6694 293 85.7 globlastp WNU104_H19 switchgrass|gb167|FL763438 3851 6695 293 85.4 globlastp WNU104_H20 brachypodium|12v1|BRADI1G60720_P1 3852 6696 293 85.1 globlastp WNU104_H21 wheat|12v3|M94726 3853 6697 293 85.1 globlastp WNU104_H22 oat|11v1|GO591794_P1 3854 6698 293 84.5 globlastp WNU104_H23 rye|12v1|DRR001012.130878 3855 6699 293 84.5 globlastp WNU104_H24 oil_palm|11v1|EL930266_P1 3856 6700 293 83 globlastp WNU104_H25 amorphophallus|11v2|SRR089351X142963_P1 3857 6701 293 82.5 globlastp WNU104_H26 grape|11v1|GSVIVT01009074001_P1 3858 6702 293 80.7 globlastp WNU104_H27 poplar|10v1|DT524995 3859 6703 293 80.6 globlastp WNU104_H27 poplar|13v1|DT524995_P1 3860 6703 293 80.6 globlastp WNU104_H28 orange|11v1|CX076591_P1 3861 6704 293 80.1 globlastp WNU104_H29 strawberry|11v1|DV440652 3862 6705 293 80 globlastp WNU105_H1 foxtail_millet|11v3|PHY7SI030718M_P1 3863 6706 294 81.9 globlastp WNU105_H2 switchgrass|12v1|FL765830_P1 3864 6707 294 81.8 globlastp WNU105_H3 switchgrass|12v1|SRR187766.292736_T1 3865 6708 294 80.82 glotblastn WNU1_H1 switchgrass|gb167|FL978666 3866 6709 297 92.67 glotblastn WNU1_H2 sugarcane|10v1|CA074048 3867 6710 297 89.66 glotblastn WNU1_H3 maize|10v1|CF029169_T1 3868 6711 297 88.79 glotblastn WNU1_H4 rice|11v1|BI809550 3869 6712 297 85.34 glotblastn WNU1_H9 switchgrass|12v1|FE613340_P1 3870 6713 297 82.9 globlastp WNU1_H8 pseudoroegneria|gb167|FF342031 3871 6714 297 80.17 glotblastn WNU10_H1 rye|12v1|DRR001012.118659 3872 6715 298 94.7 globlastp WNU10_H4 wheat|12v3|CA595300 3873 6716 298 88.3 globlastp WNU10_H9 maize|10v1|AI666068_T1 3874 6717 298 83.69 glotblastn WNU10_H10 maize|10v1|CF057796_T1 3875 6718 298 83.1 glotblastn WNU10_H12 rye|12v1|DRR001012.335122 3876 6719 298 81.93 glotblastn WNU10_H13 barley|12v1|AJ464019_T1 3877 6720 298 80.94 glotblastn WNU12_H10 switchgrass|gb167|FL691189 3878 6721 299 89.15 glotblastn WNU12_H11 maize|10v1|AW056009_T1 3879 6722 299 88.89 glotblastn WNU12_H12 oil_palm|11v1|EL687121_T1 3880 6723 299 81.65 glotblastn WNU12_H13 oil_palm|11v1|ES273973_T1 3881 6724 299 80.41 glotblastn WNU12_H14 banana|12v1|MAGEN2012018857_T1 3882 6725 299 80.1 glotblastn WNU12_H15 phalaenopsis|11v1|SRR125771.10131_T1 3883 6726 299 80.1 glotblastn WNU36_H6 rye|12v1|BE495705 3884 6727 301 89.5 globlastp WNU36_H7 oat|11v1|CN816059_T1 3885 6728 301 81.71 glotblastn WNU41_H1 pseudoroegneria|gb167|FF353522 3886 6729 302 86.3 globlastp WNU90_H1 maize|10v1|AI621741_P1 3887 6730 304 86 globlastp WNU90_H3 switchgrass|12v1|FL814028_P1 3888 6731 304 84.3 globlastp WNU90_H2 foxtail_millet|11v3|PHY7SI000622M_P1 3889 6732 304 83.1 globlastp WNU12_H3 wheat|12v3|CA639029 3890 6733 305 96 globlastp WNU12_H2 wheat|12v3|BE412252 3891 6734 305 94.3 globlastp WNU12_H1 rye|12v1|DRR001012.123825 3892 6735 305 93.6 globlastp WNU12_H4 oat|11v1|GR341130_P1 3893 6736 305 92.1 globlastp WNU12_H6 rice|11v1|AU033135 3894 6737 305 87.3 globlastp WNU12_H5 sorghum|12v1|SB06G014710 3895 6738 305 86.3 globlastp WNU12_H16 switchgrass|12v1|FL696652_P1 3896 6739 305 86 globlastp WNU12_H9 millet|10v1|EVO454PM052099_P1 3897 6740 305 85.9 globlastp WNU12_H8 foxtail_millet|11v3|PHY7SI009537M_P1 3898 6741 305 85.2 globlastp WNU12_H7 sugarcane|10v1|CA067037 3899 6742 305 85 globlastp WNU12_H17 switchgrass|12v1|FL691189_P1 3900 6743 305 84.9 globlastp WNU14_H5 wheat|12v3|BE406669 3901 6744 306 87.4 globlastp WNU14_H6 brachypodium|12v1|BRADI5G22780_P1 3902 6745 306 85.4 globlastp WNU14_H7 wheat|12v3|BI750679 3903 6746 306 83.5 globlastp WNU14_H8 rice|11v1|AU097232 3904 6747 306 81.3 globlastp WNU21_H1 wheat|12v3|BG313700 3905 6748 307 97.8 globlastp WNU21_H2 pseudoroegneria|gb167|FF343018 3906 6749 307 97.3 globlastp WNU21_H3 rye|12v1|DRR001012.138574 3907 6750 307 97.3 globlastp WNU21_H4 rye|12v1|DRR001012.10155 3908 6751 307 96.7 globlastp WNU21_H5 rye|12v1|DRR001012.10485 3909 6751 307 96.7 globlastp WNU21_H6 rye|12v1|DRR001013.189535 3910 6752 307 96.7 globlastp WNU21_H7 rye|12v1|DRR001017.1025316 3911 6751 307 96.7 globlastp WNU21_H8 wheat|12v3|CA737303 3912 6753 307 96.7 globlastp WNU21_H11 rye|12v1|DRR001012.148105 3913 6754 307 96.2 globlastp WNU21_H9 rye|12v1|DRR001012.182796 3914 6755 307 96.17 glotblastn WNU21_H10 rye|12v1|DRR001012.20658 3915 6756 307 96.17 glotblastn WNU21_H12 wheat|12v3|BQ166247 3916 6757 307 95.6 globlastp WNU21_H13 wheat|12v3|BF200640 3917 6758 307 94 globlastp WNU21_H14 leymus|gb166|CD809143_P1 3918 6759 307 91.8 globlastp WNU21_H15 fescue|gb161|DT681490_P1 3919 6760 307 88.5 globlastp WNU21_H16 brachypodium|12v1|BRADI3G26930_P1 3920 6761 307 86.9 globlastp WNU27_H1 wheat|12v3|BE488391 3921 6762 308 95.9 globlastp WNU27_H2 rye|12v1|BF145226 3922 6763 308 95.6 globlastp WNU27_H3 wheat|12v3|BE412113 3923 6764 308 95.6 globlastp WNU27_H4 rye|12v1|DRR001012.270703 3924 6765 308 88.76 glotblastn WNU27_H5 brachypodium|12v1|BRADI3G56757_P1 3925 6766 308 88.4 globlastp WNU27_H6 sorghum|12v1|SB04G038010 3926 6767 308 84.5 globlastp WNU27_H7 foxtail_millet|11v3|PHY7SI019250M_P1 3927 6768 308 82.4 globlastp WNU27_H11 switchgrass|12v1|FE641715_P1 3928 6769 308 82.1 globlastp WNU27_H8 switchgrass|gb167|FE641715 3929 6769 308 82.1 globlastp WNU27_H9 maize|10v1|AI920575_T1 3930 6770 308 81.4 glotblastn WNU28_H1 rye|12v1|DRR001012.114780 3931 6771 309 88.9 globlastp WNU28_H2 rye|12v1|DRR001012.48939 3932 6772 309 88.1 globlastp WNU28_H3 rye|12v1|DRR001018.89399 3933 6773 309 87.4 globlastp WNU28_H4 rye|12v1|DRR001017.104402 3934 6774 309 87.3 globlastp WNU28_H5 rye|12v1|DRR001012.141928 3935 6775 309 86.7 globlastp WNU28_H6, WNU28_H7 wheat|12v3|CJ963327_P1 3936 6776 309 85.8 globlastp WNU28_H6, WNU28_H7 wheat|12v3|CJ963327 3937 — 309 85.8 globlastp WNU28_H8 wheat|12v3|CA693523 3938 6777 309 85.1 globlastp WNU28_H9 rye|12v1|DRR001018.49987 3939 6778 309 84.3 globlastp WNU28_H12 wheat|12v3|CD872329 3940 6779 309 83 globlastp WNU28_H15 wheat|12v3|BE404460 3941 6780 309 82.2 globlastp WNU28_H16 barley|12v1|AV930429_P1 3942 6781 309 82.1 globlastp WNU28_H17 barley|12v1|BF253983_P1 3943 6781 309 82.1 globlastp WNU28_H13 barley|12v1|BI951355_P1 3944 6782 309 80.1 globlastp WNU28_H21 rye|12v1|DRR001012.224627_P1 3945 6783 309 80 globlastp WNU28_H22 rye|12v1|DRR001012.62536_P1 3946 6784 309 80 globlastp WNU28_H23 rye|12v1|DRR001012.656377_P1 3947 6785 309 80 globlastp WNU37_H6 brachypodium|12v1|BRADI4G04420_P1 3948 6786 311 96.3 globlastp WNU37_H16 oil_palm|11v1|CN599820_P1 3949 6787 311 83.5 globlastp WNU37_H17 oil_palm|11v1|SRR190698.114726_P1 3950 6787 311 83.5 globlastp WNU37_H18 banana|12v1|MAGEN2012018569_P1 3951 6788 311 82.5 globlastp WNU37_H20 cacao|10v1|CGD0019884_P1 3952 6789 311 81 globlastp WNU37_H24 cassava|09v1|AI253959_P1 3953 6790 311 80.2 globlastp WNU37_H27 prunus_mume|13v1|CV047022_T1 3954 6791 311 80.06 glotblastn WNU61_H1 sorghum|12v1|SB10G006070 3955 6792 315 89.2 globlastp WNU61_H2 maize|10v1|BM737452_P1 3956 6793 315 87.1 globlastp WNU61_H3 rice|11v1|CI069708_P1 3957 6794 315 82.7 globlastp WNU61_H4 rye|12v1|BE495393_T1 3958 6795 315 81.89 glotblastn WNU61_H5 brachypodium|12v1|BRADI1G46900_P1 3959 6796 315 81.6 globlastp WNU61_H6 wheat|12v3|AL822556_P1 3960 6797 315 80.3 globlastp WNU63_H1 cenchrus|gb166|EB658691_P1 3961 6798 316 97.5 globlastp WNU63_H2 foxtail_millet|11v3|PHY7SI012165M_T1 3962 6799 316 95.05 glotblastn WNU63_H16 switchgrass|12v1|DN146418_P1 3963 6800 316 94.7 globlastp WNU63_H3 switchgrass|gb167|DN146418 3964 6801 316 94.7 globlastp WNU63_H4 millet|10v1|EVO454PM118273_P1 3965 6802 316 93.6 globlastp WNU63_H5 maize|10v1|AI622273_P1 3966 6803 316 92.9 globlastp WNU63_H6 sorghum|12v1|SB04G009630 3967 6804 316 92.9 globlastp WNU63_H7 sorghum|12v1|SB01G016190 3968 6805 316 91.5 globlastp WNU63_H8 maize|10v1|AI948046_P1 3969 6806 316 88.7 globlastp WNU63_H9 rice|11v1|BM420094 3970 6807 316 86.3 globlastp WNU63_H10 brachypodium|12v1|BRADI2G33020T2_P1 3971 6808 316 85.5 globlastp WNU63_H11 rye|12v1|DRR001012.157809 3972 6809 316 84.5 globlastp WNU63_H12 barley|12v1|BE215196_T1 3973 6810 316 84.1 glotblastn WNU63_H13 rye|12v1|DRR001015.124656 3974 6811 316 84.1 glotblastn WNU63_H14 wheat|12v3|CA661311 3975 6812 316 84.1 globlastp WNU63_H15 pseudoroegneria|gb167|FF340909 3976 6813 316 80.92 glotblastn WNU78_H1 millet|10v1|EVO454PM004199_P1 3977 6814 319 92.5 globlastp WNU78_H17 switchgrass|12v1|DN146651_P1 3978 6815 319 89.7 globlastp WNU78_H18 switchgrass|12v1|FE643273_P1 3979 6816 319 89.7 globlastp WNU78_H2 switchgrass|gb167|DN146651 3980 6815 319 89.7 globlastp WNU78_H3 switchgrass|gb167|FE643273 3981 6816 319 89.7 globlastp WNU78_H4 foxtail_millet|11v3|PHY7SI007162M_P1 3982 6817 319 88.9 globlastp WNU78_H5 sorghum|12v1|SB10G000890 3983 6818 319 88.9 globlastp WNU78_H19 switchgrass|12v1|FL849979_P1 3984 6819 319 87.3 globlastp WNU78_H6 rice|11v1|AU093254 3985 6820 319 85.7 globlastp WNU78_H7 switchgrass|gb167|FL779241 3986 6821 319 84.76 glotblastn WNU78_H8 brachypodium|12v1|BRADI3G13680_P1 3987 6822 319 84.1 globlastp WNU78_H9 fescue|gb161|DT700845_P1 3988 6823 319 83.7 globlastp WNU78_H10 barley|12v1|BI955393_T1 3989 6824 319 83.33 glotblastn WNU78_H11 wheat|12v3|BJ208990 3990 6825 319 82.9 globlastp WNU78_H12 wheat|12v3|BE444900 3991 6826 319 82.5 globlastp WNU78_H13 brachypodium|12v1|BRADI1G51860_P1 3992 6827 319 82.1 globlastp WNU78_H14 rye|12v1|DRR001012.33764 3993 6828 319 82.1 globlastp WNU78_H15 wheat|12v3|CA632170 3994 6829 319 82.1 globlastp WNU78_H16 oat|11v1|CN819016_P1 3995 6830 319 81.3 globlastp WNU80_H1 foxtail_millet|11v3|PHY7SI002358M_P1 3996 6831 320 96.7 globlastp WNU80_H2 millet|10v1|CD724968_P1 3997 6832 320 96.7 globlastp WNU80_H3 sorghum|12v1|SB03G040810 3998 6833 320 96.7 globlastp WNU80_H17 switchgrass|12v1|FE599977_P1 3999 6834 320 96.4 globlastp WNU80_H4 switchgrass|gb167|FE599977 4000 6835 320 95.4 globlastp WNU80_H5 sugarcane|10v1|CA079518 4001 6836 320 93.5 globlastp WNU80_H6 rice|11v1|AU070592 4002 — 320 90.91 glotblastn WNU80_H7 brachypodium|12v1|BRADI2G55950_P1 4003 6837 320 90.6 globlastp WNU80_H8 pseudoroegneria|gb167|FF349822 4004 6838 320 90.3 globlastp WNU80_H9 wheat|12v3|BE405865 4005 6839 320 90.3 globlastp WNU80_H10 rye|12v1|DRR001012.116997 4006 6840 320 89.9 globlastp WNU80_H11 rye|12v1|DRR001012.163420 4007 6840 320 89.9 globlastp WNU80_H12 rye|12v1|BE587858 4008 6841 320 89.6 globlastp WNU80_H13 rye|12v1|DRR001015.911252 4009 6842 320 89.6 globlastp WNU80_H14 wheat|12v3|BE405262 4010 6843 320 89.6 globlastp WNU80_H15 cenchrus|gb166|BM084416_T1 4011 6844 320 88.6 glotblastn WNU80_H16 rye|12v1|DRR001012.173208 4012 6845 320 87.99 glotblastn WNU81_H1 foxtail_millet|11v3|PHY7SI013223M_P1 4013 6846 321 93 globlastp WNU81_H2 brachypodium|12v1|BRADI3G22387_P1 4014 6847 321 89.7 globlastp WNU81_H3 rice|11v1|BM419293 4015 6848 321 89.1 globlastp WNU81_H4 foxtail_millet|11v3|PHY7SI028859M_P1 4016 6849 321 85.4 globlastp WNU81_H5 rice|11v1|CA754384 4017 6850 321 84.8 globlastp WNU81_H6 sorghum|12v1|SB02G019450 4018 6851 321 84.7 globlastp WNU81_H7 rye|12v1|DRR001012.105803 4019 6852 321 83.7 globlastp WNU81_H8 maize|10v1|MZEAKHDA_P1 4020 6853 321 83.2 globlastp WNU81_H10 brachypodium|12v1|BRADI4G27450_P1 4021 6854 321 82.7 globlastp WNU81_H9 switchgrass|gb167|FE600070 4022 6855 321 82.65 glotblastn WNU81_H11 wheat|12v3|BE412231 4023 6856 321 82.4 globlastp WNU81_H12 wheat|12v3|BM136038 4024 6857 321 81.82 glotblastn WNU82_H1 sugarcane|10v1|CA151757 4025 6858 322 90.9 globlastp WNU82_H2 sorghum|12v1|SB03G042740 4026 6859 322 89 globlastp WNU82_H4 foxtail_millet|11v3|PHY7SI003185M_P1 4027 6860 322 81.3 globlastp WNU82_H5 switchgrass|gb167|DN144831 4028 6861 322 80.6 globlastp WNU83_H11 switchgrass|12v1|FL769499_P1 4029 6862 323 95.5 globlastp WNU83_H12 switchgrass|12v1|FL734741_P1 4030 6863 323 95 globlastp WNU83_H2 foxtail_millet|11v3|PHY7SI022165M_T1 4031 6864 323 94.09 glotblastn WNU83_H1 sorghum|12v1|SB09G003210 4032 6865 323 93.6 globlastp WNU83_H3 brachypodium|12v1|BRADI2G36660_P1 4033 6866 323 89.7 globlastp WNU83_H5 wheat|12v3|BE499001 4034 6867 323 89.1 globlastp WNU83_H4 rice|11v1|AU091309 4035 6868 323 89.09 glotblastn WNU83_H6 rice|11v1|GFXAC105262X7 4036 6869 323 87.5 globlastp WNU83_H7 cenchrus|gb166|EB657522_P1 4037 6870 323 87.3 globlastp WNU83_H8 rye|12v1|DRR001012.509710 4038 6871 323 86 globlastp WNU83_H9 rye|12v1|DRR001012.585241 4039 6872 323 86 globlastp WNU83_H10 switchgrass|gb167|FL734741 4040 6873 323 84.09 glotblastn WNU98_H2 sorghum|12v1|SB04G026090 4041 6874 325 94.3 globlastp WNU98_H4 foxtail_millet|11v3|PHY7SI035026M_P1 4042 6875 325 88.3 globlastp WNU98_H5 foxtail_millet|11v3|EC612739_P1 4043 6876 325 87.6 globlastp WNU98_H6 foxtail_millet|11v3|PHY7SI000916M_P1 4044 6877 325 87.4 globlastp WNU98_H22 switchgrass|12v1|FE607028_P1 4045 6878 325 87.2 globlastp WNU98_H7 switchgrass|gb167|FE607028 4046 6878 325 87.2 globlastp WNU98_H23 switchgrass|12v1|FE608115_P1 4047 6879 325 87.1 globlastp WNU98_H8 switchgrass|gb167|FE608115 4048 6879 325 87.1 globlastp WNU98_H24 switchgrass|12v1|FE599520_P1 4049 6880 325 86.9 globlastp WNU98_H10 rice|11v1|AA754522 4050 6881 325 85.2 globlastp WNU98_H12 barley|12v1|AV833668_P1 4051 6882 325 82.7 globlastp WNU98_H13 wheat|12v3|BJ268384 4052 6883 325 82.5 globlastp WNU98_H14 rye|12v1|DRR001012.140848 4053 6884 325 81.2 globlastp WNU98_H15 wheat|12v3|BE500326 4054 6885 325 81.2 globlastp WNU98_H16 rye|12v1|DRR001012.130831 4055 6886 325 80.8 globlastp WNU98_H19 rye|12v1|DRR001012.119066 4056 6887 325 80.3 globlastp WNU98_H20 rye|12v1|BE494854 4057 6888 325 80.1 globlastp WNU98_H25 barley|12v1|BG414863_P1 4058 6889 325 80 globlastp WNU99_H1 maize|10v1|BM032584_P1 4059 6890 326 89.7 globlastp WNU99_H3 switchgrass|12v1|FL698201_P1 4060 6891 326 88.2 globlastp WNU99_H2 maize|10v1|AW520084_P1 4061 6892 326 88 globlastp WNU99_H4 switchgrass|12v1|FE632329_P1 4062 6893 326 87.3 globlastp Table 2: Provided are the homologous polypeptides and polynucleotides of the genes identified in Table 1 and of their cloned genes, which can increase nitrogen use efficiency, fertilizer use efficiency, yield, seed yield, growth rate, vigor, biomass, oil content, fiber yield, fiber quality, fiber length, abiotic stress tolerance and/or water use efficiency of a plant. Homology was calculated as % of identity over the aligned sequences. The query sequences were polypeptide sequences SEQ ID NOs: 202-327 and polynucleotides SEQ ID NOs: 1-201) and the subject sequences are polypeptide sequences or polynucleotide sequences which were dynamically translated in all six reading frames identified in the database based on greater than 80% identity to the query polypeptide sequences. “Polyp.” = polypeptide; “Polyn.”—Polynucleotide. Algor. = Algorithm, “globlastp”—global homology using blastp; “glotblastn”—global homology using tblastn. “Hom.”—homologous.

The output of the functional genomics approach described herein is a set of genes highly predicted to improve nitrogen use efficiency, fertilizer use efficiency, yield, seed yield, growth rate, vigor, biomass, oil content, fiber yield, fiber length, fiber quality, abiotic stress tolerance and/or water use efficiency of a plant by increasing their expression.

Although each gene is predicted to have its own impact, modifying the mode of expression of more than one gene or gene product (RNA, polypeptide) is expected to provide an additive or synergistic effect on the desired trait (e.g., nitrogen use efficiency, fertilizer use efficiency, yield, growth rate, vigor, biomass, oil content, abiotic stress tolerance and/or water use efficiency of a plant). Altering the expression of each gene described here alone or of a set of genes together increases the overall yield and/or other agronomic important traits, hence expects to increase agricultural productivity.

Example 3 Production of Arabidopsis Transcriptome and High Throughput Correlation Analysis Using 44K Arabidopsis Oligonucleotide Micro-Array

In order to produce a high throughput correlation analysis comparing between plant phenotype and gene expression level, the present inventors utilized a Arabidopsis oligonucleotide micro-array, produced by Agilent Technologies [chem (dot) agilent (dot) com/Scripts/PDS (dot) asp?lPage=50879]. The array oligonucleotide represents about 44,000 Arabidopsis genes and transcripts. To define correlations between the levels of RNA expression with NUE, yield components or vigor related parameters various plant characteristics of 14 different Arabidopsis ecotypes were analyzed. Among them, ten ecotypes encompassing the observed variance were selected for RNA expression analysis. The correlation between the RNA levels and the characterized parameters was analyzed using Pearson correlation test [davidmlane (dot) com/hyperstat/A34739 (dot) html].

Experimental Procedures

Analyzed Arabidopsis tissues—Two tissues of plants [leaves and stems]growing at two different nitrogen fertilization levels (1.5 mM Nitrogen or 6 mM Nitrogen) were sampled and RNA was extracted as described above. Each micro-array expression information tissue type has received a Set ID as summarized Table 3 below.

TABLE 3 Arabidopsis transcriptome experimental sets Expression Set Set ID Leaves at 1.5 mM Nitrogen fertilization 1 Leaves at 6 mM Nitrogen fertilization 2 Stems at 1.5 mM Nitrogen fertilization 3 Stem at 6 mM Nitrogen fertilization 4 Table 3.

Arabidopsis yield components and vigor related parameters under different nitrogen fertilization levels assessment—10 Arabidopsis accessions in 2 repetitive plots each containing 8 plants per plot were grown at greenhouse. The growing protocol used was as follows: surface sterilized seeds were sown in Eppendorf tubes containing 0.5× Murashige-Skoog basal salt medium and grown at 23° C. under 12-hour light and 12-hour dark daily cycles for 10 days. Then, seedlings of similar size were carefully transferred to pots filled with a mix of perlite and peat in a 1:1 ratio. Constant nitrogen limiting conditions were achieved by irrigating the plants with a solution containing 1.5 mM inorganic nitrogen in the form of KNO₃, supplemented with 2 mM CaCl₂, 1.25 mM KH₂PO₄, 1.50 mM MgSO₄, 5 mM KCl, 0.01 mM H₃BO₃ and microelements, while normal irrigation conditions was achieved by applying a solution of 6 mM inorganic nitrogen also in the form of KNO₃, supplemented with 2 mM CaCl₂, 1.25 mM KH₂PO₄, 1.50 mM MgSO₄, 0.01 mM H₃BO₃ and microelements. To follow plant growth, trays were photographed the day nitrogen limiting conditions were initiated and subsequently every 3 days for about 15 additional days. Rosette plant area was then determined from the digital pictures. ImageJ software was used for quantifying the plant size from the digital pictures [rsb (dot) info (dot) nih (dot) gov/ij/] utilizing proprietary scripts designed to analyze the size of rosette area from individual plants as a function of time. The image analysis system included a personal desktop computer (Intel P4 3.0 GHz processor) and a public domain program—ImageJ 1.37 (Java based image processing program, which was developed at the U.S. National Institutes of Health and freely available on the internet [rsbweb (dot) nih (dot) gov/]). Next, analyzed data was saved to text files and processed using the JMP statistical analysis software (SAS institute).

Data parameters collected are summarized in Table 4, hereinbelow.

TABLE 4 Arabidopsis correlated parameters (vectors) Correlated parameter with Correlation ID N_1.5 mM 1000 Seeds weight [gr] 1 N 1.5 mM Biomass reduction compared to 6 mM [gr] 2 N 1.5 mM DW/SPAD [gr./SPAD unit] 3 N 1.5 mM Dry Weight [gr] 4 N 1.5 mM Harvest Index 5 N 1.5 mM Leaf Blade Area 10 day [cm²] 6 N 1.5 mM Leaf Number 10 day 7 N 1.5 mM GR of Rosette Area 3 day [cm²/day] 8 N 1.5 mM Rosette Area 10 day [cm²] 9 N 1.5 mM Rosette Area 8 day [cm²] 10 N 1.5 mM SPAD/DW [SPAD unit/gr.] 11 N 1.5 mM Seed Yield [gr] 12 N 1.5 mM Seed yield reduction compared to 6 mM [gr] 13 N 1.5 mM Spad/FW [SPAD unit/gr.] 14 N 1.5 mM seed yield/spad [gr./SPAD unit] 15 N 1.5 mM seed yield per leaf blead [gr./cm²] 16 N 1.5 mM seed yield per rossete area day 10 [gr./cm²] 17 N 1.5 mM t50 Flowering [days] 18 N 6 mMDW/SPAD [gr./SPAD unit] 19 N 6 mMSpad/FW [SPAD unit/gr.] 20 N 6 mM 10 day00 Seeds weight [gr] 21 N 6 mM Dry Weight [gr] 22 N 6 mM Harvest Index 23 N 6 mM Leaf Blade Area 10 day [cm²] 24 N 6 mM Leaf Number 10 day 25 N 6 mM GR of Rosette Area 3 day [cm²/day] 26 N 6 mM Rosette Area 10 day [cm²] 27 N 6 mM Rosette Area 8 day [cm²] 28 N 6 mM Seed Yield [gr] 29 N 6 mM Seed yield/N unit [gr./SPAD unit] 30 N 6 mM seed yield/rossete area day 10 day [gr./cm²] 31 N 6 mM seed yield/leaf blade [gr./cm²] 32 N 6 mM spad/DW [SPAD unit/gr.] 33 N 6 mM t50 Flowering (days) 34 Table 4. “N” = Nitrogen at the noted concentrations; “gr.” = grams; “SPAD” = chlorophyll levels; “t50” = time where 50% of plants flowered; “gr./SPAD unit” = plant biomass expressed in grams per unit of nitrogen in plant measured by SPAD. “DW” = plant dry weight; “N level/DW” = plant Nitrogen level measured in SPAD unit per plant biomass [gr.]; “DW/N level” = plant biomass per plant [gr.]/SPAD unit;

Assessment of NUE, yield components and vigor-related parameters—Ten Arabidopsis ecotypes were grown in trays, each containing 8 plants per plot, in a greenhouse with controlled temperature conditions for about 12 weeks. Plants were irrigated with different nitrogen concentration as described above depending on the treatment applied. During this time, data was collected documented and analyzed. Most of chosen parameters were analyzed by digital imaging.

Digital imaging—Greenhouse assay

An image acquisition system, which consists of a digital reflex camera (Canon EOS 400D) attached with a 55 mm focal length lens (Canon EF-S series) placed in a custom made Aluminum mount, was used for capturing images of plants planted in containers within an environmental controlled greenhouse. The image capturing process was repeated every 2-3 days starting at day 9-12 till day 16-19 (respectively) from transplanting.

An image processing system was used, which consists of a personal desktop computer (Intel P4 3.0 GHz processor) and a public domain program—ImageJ 1.37, Java based image processing software, which was developed at the U.S. National Institutes of Health and is freely available on the internet at Hypertext Transfer Protocol://rsbweb (dot) nih (dot) gov/. Images were captured in resolution of 10 Mega Pixels (3888×2592 pixels) and stored in a low compression JPEG (Joint Photographic Experts Group standard) format. Next, image processing output data was saved to text files and analyzed using the JMP statistical analysis software (SAS institute).

Leaf analysis—Using the digital analysis leaves data was calculated, including leaf number, leaf blade area, Rosette diameter and area.

Vegetative growth rate: the growth rate (GR) of leaf blade area (Formula XII), leaf number (Formula VIII), rosette area (Formula IX), rosette diameter (Formula X), plot coverage (Formula XI) and Petiole Relative Area (Formula XXV) were calculated using the indicated Formulas as described above.

Seed yield and 1000 seeds weight—At the end of the experiment all seeds from all plots were collected and weighed in order to measure seed yield per plant in terms of total seed weight per plant (gr.). For the calculation of 1000 seed weight, an average weight of 0.02 grams was measured from each sample, the seeds were scattered on a glass tray and a picture was taken. Using the digital analysis, the number of seeds in each sample was calculated.

Dry weight and seed yield—At the end of the experiment, plant were harvested and left to dry at 30° C. in a drying chamber. The biomass was separated from the seeds, weighed and divided by the number of plants. Dry weight=total weight of the vegetative portion above ground (excluding roots) after drying at 30° C. in a drying chamber.

Harvest Index—The harvest index was calculated using Formula XV as described above.

T₅₀ days to flowering—Each of the repeats was monitored for flowering date.

Days of flowering was calculated from sowing date till 50% of the plots flowered.

Plant nitrogen level—The chlorophyll content of leaves is a good indicator of the nitrogen plant status since the degree of leaf greenness is highly correlated to this parameter. Chlorophyll content was determined using a Minolta SPAD 502 chlorophyll meter and measurement was performed at time of flowering. SPAD meter readings were done on young fully developed leaf. Three measurements per leaf were taken per plot. Based on this measurement, parameters such as the ratio between seed yield per nitrogen unit [seed yield/N level=seed yield per plant [gr.]/SPAD unit], plant DW per nitrogen unit [DW/N level=plant biomass per plant [gr.]/SPAD unit], and nitrogen level per gram of biomass [N level/DW=SPAD unit/plant biomass per plant (gr.)] were calculated.

Percent of seed yield reduction-measures the amount of seeds obtained in plants when grown under nitrogen-limiting conditions compared to seed yield produced at normal nitrogen levels expressed in %.

Experimental Results

10 different Arabidopsis accessions (ecotypes) were grown and characterized for 37 parameters as described above. The average for each of the measured parameters was calculated using the JMP software and values are summarized in Table 5 below. Subsequent correlation analysis between the various transcriptome sets (Table 3) and the measured parameters was conducted. Following, the results were integrated to the database.

TABLE 5 Measured parameters in Arabidopsis accessions Corr. Line ID Line-1 Line-2 Line-3 Line-4 Line-5 Line-6 Line-7 Line-8 Line-9 Line-10 1 0.016 0.016 0.018 0.014 0.022 0.015 0.014 0.022 0.019 0.018 2 60.746 76.706 78.560 78.140 78.641 73.192 83.068 77.190 70.120 62.972 4 0.164 0.124 0.082 0.113 0.124 0.134 0.106 0.148 0.171 0.184 5 0.192 0.203 0.295 0.085 0.071 0.241 0.179 0.081 0.079 0.031 6 0.335 0.266 0.374 0.387 0.370 0.386 0.350 0.379 0.307 0.373 7 6.875 7.313 7.313 7.875 7.750 7.625 7.188 8.625 5.929 7.938 8 0.631 0.793 0.502 0.491 0.720 0.825 0.646 0.668 0.636 0.605 9 1.430 1.325 1.766 1.971 1.832 1.818 1.636 1.996 1.150 1.754 10 0.760 0.709 1.061 1.157 1.000 0.910 0.942 1.118 0.638 0.996 12 0.032 0.025 0.023 0.010 0.009 0.032 0.019 0.012 0.014 0.006 13 72.559 84.701 78.784 87.996 92.622 76.710 81.938 91.301 85.757 91.820 16 0.095 0.095 0.063 0.026 0.024 0.084 0.059 0.034 0.044 0.015 17 0.022 0.019 0.014 0.005 0.005 0.018 0.013 0.007 0.012 0.003 18 15.967 20.968 14.836 24.708 23.698 18.059 19.488 23.568 21.888 23.566 21 0.015 0.017 0.018 0.012 0.016 0.015 0.014 0.017 0.016 0.016 22 0.419 0.531 0.382 0.518 0.579 0.501 0.628 0.649 0.573 0.496 23 0.280 0.309 0.284 0.158 0.206 0.276 0.171 0.212 0.166 0.136 24 0.342 0.315 0.523 0.449 0.430 0.497 0.428 0.509 0.405 0.430 25 6.250 7.313 8.063 8.750 8.750 8.375 7.125 9.438 6.313 8.063 26 0.689 1.024 0.614 0.601 0.651 0.676 0.584 0.613 0.515 0.477 27 1.406 1.570 2.673 2.418 2.142 2.474 1.965 2.721 1.642 2.207 28 0.759 0.857 1.477 1.278 1.095 1.236 1.094 1.410 0.891 1.224 29 0.116 0.165 0.108 0.082 0.119 0.139 0.107 0.138 0.095 0.068 31 0.082 0.106 0.041 0.034 0.056 0.057 0.055 0.051 0.058 0.031 32 0.339 0.526 0.207 0.183 0.277 0.281 0.252 0.271 0.235 0.158 34 16.371 20.500 14.635 24.000 23.595 15.033 19.750 22.887 18.804 23.378 3 0.006 0.004 0.005 0.006 0.006 11 167.300 241.061 194.977 169.343 157.823 14 45.590 42.110 53.110 67.000 28.150 15 0.001 0.000 0.001 0.000 0.000 19 0.019 0.018 0.015 0.015 0.028 20 22.490 28.270 33.320 39.000 17.640 30 0.004 0.003 0.005 0.003 0.002 33 53.705 54.625 66.479 68.054 35.548 Table 5. Provided are the measured parameters under various treatments in various ecotypes (Arabidopsis accessions).

TABLE 6 Correlation between the expression level of WNU selected genes of some embodiments of the invention in various tissues and the phenotypic performance under normal or low nitrogen fertilization conditions across Arabidopsis accessions Gene Exp. Cor. Gene Exp. Cor. Name R P value set Set ID Name R P value set Set ID WNU5 0.704 3.44E−02 4 4 WNU5 0.826 3.21E−03 3 17 WNU5 0.801 5.31E−03 3 16 WNU5 0.762 1.05E−02 3 12 WNU7 0.709 2.18E−02 1 34 WNU7 0.730 1.65E−02 3 31 Table 6. “Corr. ID”—correlation set ID according to the correlated parameters Table above. “Exp. Set”—Expression set. “R” = Pearson correlation coefficient; “P” = p value.

Example 4 Production of Arabidopsis Transcriptome and High Throughput Correlation Analysis of Yield, Biomass and/or Vigor Related Parameters Using 44K Arabidopsis Full Genome Oligonucleotide Micro-Array

To produce a high throughput correlation analysis comparing between plant phenotype and gene expression level, the present inventors utilized an Arabidopsis thaliana oligonucleotide micro-array, produced by Agilent Technologies [chem. (dot) agilent (dot) com/Scripts/PDS (dot) asp?lPage=50879]. The array oligonucleotide represents about 40,000 A. thaliana genes and transcripts designed based on data from the TIGR ATH1 v.5 database and Arabidopsis MPSS (University of Delaware) databases. To define correlations between the levels of RNA expression and yield, biomass components or vigor related parameters, various plant characteristics of 15 different Arabidopsis ecotypes were analyzed. Among them, nine ecotypes encompassing the observed variance were selected for RNA expression analysis. The correlation between the RNA levels and the characterized parameters was analyzed using Pearson correlation test [davidmlane (dot) com/hyperstat/A34739 (dot) html].

Experimental Procedures

Analyzed Arabidopsis tissues—Five tissues at different developmental stages including root, leaf, flower at anthesis, seed at 5 days after flowering (DAF) and seed at 12 DAF, representing different plant characteristics, were sampled and RNA was extracted as described above. Each micro-array expression information tissue type has received a Set ID as summarized in Table 7 below.

TABLE 7 Tissues used for Arabidopsis transcriptome expression sets Expression Set Set ID Leaf 1 Root 2 Seed 5 DAF 3 Flower 4 Seed 12 DAF 5 Table 7: Provided are the identification (ID) letters of each of the Arabidopsis expression sets (A-E). DAF = days after flowering.

Yield components and vigor related parameters assessment—Eight out of the nine Arabidopsis ecotypes were used in each of 5 repetitive blocks (named A, B, C, D and E), each containing 20 plants per plot. The plants were grown in a greenhouse at controlled conditions in 22° C., and the N:P:K fertilizer (20:20:20; weight ratios) [nitrogen (N), phosphorus (P) and potassium (K)] was added. During this time data was collected, documented and analyzed. Additional data was collected through the seedling stage of plants grown in a vertical grown transparent agar plates. Most of chosen parameters were analyzed by digital imaging.

Digital imaging in plantlets analysis—A laboratory image acquisition system was used for capturing images of plantlets sawn in square agar plates. The image acquisition system consists of a digital reflex camera (Canon EOS 300D) attached to a 55 mm focal length lens (Canon EF-S series), mounted on a reproduction device (Kaiser RS), which included 4 light units (4×150 Watts light bulb) and located in a darkroom.

Digital imaging in Greenhouse—The image capturing process was repeated every 3-4 days starting at day 7 till day 30. The same camera attached to a 24 mm focal length lens (Canon EF series), placed in a custom made iron mount, was used for capturing images of larger plants sawn in white tubs in an environmental controlled greenhouse. The white tubs were square shape with measurements of 36×26.2 cm and 7.5 cm deep. During the capture process, the tubs were placed beneath the iron mount, while avoiding direct sun light and casting of shadows. This process was repeated every 3-4 days for up to 30 days.

An image analysis system was used, which consists of a personal desktop computer (Intel P43.0 GHz processor) and a public domain program—ImageJ 1.37, Java based image processing program, which was developed at the U.S. National Institutes of Health and is freely available on the internet at rsbweb (dot) nih (dot) gov/. Images were captured in resolution of 6 Mega Pixels (3072×2048 pixels) and stored in a low compression JPEG (Joint Photographic Experts Group standard) format. Next, analyzed data was saved to text files and processed using the JMP statistical analysis software (SAS institute).

Leaf analysis—Using the digital analysis leaves data was calculated, including leaf number, area, perimeter, length and width. On day 30, 3-4 representative plants were chosen from each plot of blocks A, B and C. The plants were dissected, each leaf was separated and was introduced between two glass trays, a photo of each plant was taken and the various parameters (such as leaf total area, laminar length etc.) were calculated from the images. The blade circularity was calculated as laminar width divided by laminar length.

Root analysis—During 17 days, the different ecotypes were grown in transparent agar plates. The plates were photographed every 3 days starting at day 7 in the photography room and the roots development was documented (see examples in FIGS. 3A-3F). The growth rate of roots was calculated according to Formula XXVIII (above).

Vegetative growth rate analysis—was calculated according to Formulas VII-XIII above. The analysis was ended with the appearance of overlapping plants.

For comparison between ecotypes the calculated rate was normalized using plant developmental stage as represented by the number of true leaves. In cases where plants with 8 leaves had been sampled twice (for example at day 10 and day 13), only the largest sample was chosen and added to the Anova comparison.

Seeds in siliques analysis—On day 70, 15-17 siliques were collected from each plot in blocks D and E. The chosen siliques were light brown color but still intact. The siliques were opened in the photography room and the seeds were scatter on a glass tray, a high resolution digital picture was taken for each plot. Using the images the number of seeds per silique was determined.

Seeds average weight—At the end of the experiment all seeds from plots of blocks A-C were collected. An average weight of 0.02 grams was measured from each sample, the seeds were scattered on a glass tray and a picture was taken. Using the digital analysis, the number of seeds in each sample was calculated.

Oil percentage in seeds—At the end of the experiment all seeds from plots of blocks A-C were collected. Columbia seeds from 3 plots were mixed grounded and then mounted onto the extraction chamber. 210 ml of n-Hexane (Cat No. 080951 Biolab Ltd.) were used as the solvent. The extraction was performed for 30 hours at medium heat 50° C. Once the extraction has ended the n-Hexane was evaporated using the evaporator at 35° C. and vacuum conditions. The process was repeated twice. The information gained from the Soxhlet extractor (Soxhlet, F. Die gewichtsanalytische Bestimmung des Milchfettes, Polytechnisches J. (Dingler's) 1879, 232, 461) was used to create a calibration curve for the Low Resonance NMR. The content of oil of all seed samples was determined using the Low Resonance NMR (MARAN Ultra-Oxford Instrument) and its MultiQuant software package.

Silique length analysis—On day 50 from sowing, 30 siliques from different plants in each plot were sampled in block A. The chosen siliques were green-yellow in color and were collected from the bottom parts of a grown plant's stem. A digital photograph was taken to determine silique's length.

Dry weight and seed yield—On day 80 from sowing, the plants from blocks A-C were harvested and left to dry at 30° C. in a drying chamber. The biomass and seed weight of each plot was separated, measured and divided by the number of plants. Dry weight=total weight of the vegetative portion above ground (excluding roots) after drying at 30° C. in a drying chamber; Seed yield per plant=total seed weight per plant (gr).

Oil yield—The oil yield was calculated using Formula XXIX above.

Harvest Index (seed)—The harvest index was calculated using Formula XV (described above).

Experimental Results

Nine different Arabidopsis ecotypes were grown and characterized for 18 parameters (named as vectors). Table 8 describes the Arabidopsis correlated parameters. The average for each of the measured parameter was calculated using the JMP software (Table 9) and a subsequent correlation analysis was performed (Table 10). Results were then integrated to the database.

TABLE 8 Arabidopsis correlated parameters (vectors) Correlated parameter with Correlation ID Blade circularity 1 Dry matter per plant [gr] 2 Harvest Index 3 Lamina length [cm] 4 Lamina width [cm] 5 Leaf width/length 6 Oil % per seed [%] 7 Oil yield per plant [mg] 8 Seeds per Pod 9 Silique length [cm] 10 Total Leaf Area per plant [cm²] 11 Vegetative growth rate [cm²/day] 12 fresh weight [gr] 13 relative root growth [cm/day] 14 root length day 13 [cm] 15 root length day 7 [cm] 16 seed weight [gr] 17 seed yield per plant [gr] 18 Table 8. Provided are the Arabidopsis correlated parameters (correlation ID Nos. 1-18). Abbreviations: Cm = centimeter(s); gr. = gram(s); mg = milligram(s).

The characterized values are summarized in Table 9 below.

TABLE 9 Measured parameters in Arabidopsis ecotypes Corr Line ID. Line-1 Line-2 Line-3 Line-4 Line-5 Line-6 Line-7 Line-8 Line-9 1 0.509 0.481 0.450 0.370 0.501 0.376 0.394 0.491 0.409 2 0.640 1.270 1.050 1.280 1.690 1.340 0.810 1.210 1.350 3 0.530 0.350 0.560 0.330 0.370 0.320 0.450 0.510 0.410 4 2.767 3.544 3.274 3.785 3.690 4.597 3.877 3.717 4.149 5 1.385 1.697 1.460 1.374 1.828 1.650 1.510 1.817 1.668 6 0.353 0.288 0.316 0.258 0.356 0.273 0.305 0.335 0.307 7 34.420 31.190 38.050 27.760 35.490 32.910 31.560 30.790 34.020 8 118.630 138.730 224.060 116.260 218.270 142.110 114.150 190.060 187.620 9 45.440 53.470 58.470 35.270 48.560 37.000 39.380 40.530 25.530 10 1.060 1.260 1.310 1.470 1.240 1.090 1.180 1.180 1.000 11 46.860 109.890 58.360 56.800 114.660 110.820 88.490 121.790 93.040 12 0.313 0.378 0.484 0.474 0.425 0.645 0.430 0.384 0.471 13 1.510 3.607 1.935 2.082 3.556 4.338 3.467 3.479 3.710 14 0.631 0.664 1.176 1.089 0.907 0.774 0.606 0.701 0.782 15 4.419 8.530 5.621 4.834 5.957 6.372 5.649 7.060 7.041 16 0.937 1.759 0.701 0.728 0.991 1.163 1.284 1.414 1.251 17 0.020 0.023 0.025 0.034 0.020 0.026 0.020 0.023 0.024 18 0.340 0.440 0.590 0.420 0.610 0.430 0.360 0.620 0.550 Table 9. Provided are the values of each of the parameters (as described above) measured in Arabidopsis accessions (line) under normal growth conditions. Growth conditions are specified in the experimental procedure section.

TABLE 10 Correlation between the expression level of WNU selected genes of some embodiments of the invention in various tissues and the phenotypic performance under normal or low nitrogen fertilization conditions across Arabidopsis accessions Gene Exp. Cor. Gene Exp. Cor. Name R P value set Set ID Name R P value set Set ID WNU5 0.746 5.41E−02 3 16 WNU6 0.788 3.55E−02 3 3 WNU7 0.728 6.39E−02 3 9 WNU7 0.824 2.26E−02 3 10 WNU7 0.738 5.84E−02 3 18 WNU7 0.770 4.28E−02 3 8 WNU7 0.862 1.27E−02 3 14 WNU7 0.704 5.12E−02 5 5 Table 10. “Corr. ID”—correlation set ID according to the correlated parameters Table above. “Exp. Set”—Expression set. “R” = Pearson correlation coefficient; “P” = p value.

Example 5 Production of Barley Transcriptome and High Throughput Correlation Analysis Using 44K Barley Oligonucleotide Micro-Array

In order to produce a high throughput correlation analysis comparing between plant phenotype and gene expression level, the present inventors utilized a Barley oligonucleotide micro-array, produced by Agilent Technologies [chem. (dot) agilent (dot) com/Scripts/PDS (dot) asp?lPage=50879]. The array oligonucleotide represents about 47,500 Barley genes and transcripts. In order to define correlations between the levels of RNA expression and yield or vigor related parameters, various plant characteristics of 25 different Barley accessions were analyzed. Among them, 13 accessions encompassing the observed variance were selected for RNA expression analysis. The correlation between the RNA levels and the characterized parameters was analyzed using Pearson correlation test [davidmlane (dot) com/hyperstat/A34739 (dot) html].

Experimental Procedures

Analyzed Barley tissues—Five tissues at different developmental stages [meristem, flower, booting spike, stem, flag leaf], representing different plant characteristics, were sampled and RNA was extracted as described above. Each micro-array expression information tissue type has received a Set ID as summarized in Table 11 below.

TABLE 11 Barley transcriptome expression sets Expression Set Set ID booting spike 1 flowering spike 2 meristem 3 Stem 4 Table 11.

Barley yield components and vigor related parameters assessment—25 Barley accessions in 4 repetitive blocks (named A, B, C, and D), each containing 4 plants per plot were grown at net house. Plants were phenotyped on a daily basis following the standard descriptor of barley (Table 12, below). Harvest was conducted while 50% of the spikes were dry to avoid spontaneous release of the seeds. Plants were separated to the vegetative part and spikes, of them, 5 spikes were threshed (grains were separated from the glumes) for additional grain analysis such as size measurement, grain count per spike and grain yield per spike. All material was oven dried and the seeds were threshed manually from the spikes prior to measurement of the seed characteristics (weight and size) using scanning and image analysis. The image analysis system included a personal desktop computer (Intel P4 3.0 GHz processor) and a public domain program—ImageJ 1.37 (Java based image processing program, which was developed at the U.S. National Institutes of Health and freely available on the internet [rsbweb (dot) nih (dot) gov/]. Next, analyzed data was saved to text files and processed using the JMP statistical analysis software (SAS institute).

TABLE 12 Barley standard descriptors Trait Parameter Range Description Growth habit Scoring 1-9 Prostrate (1) or Erect (9) Hairiness of Scoring P (Presence)/A (Absence) Absence (1) or Presence (2) basal leaves Stem Scoring 1-5 Green (1), Basal only or pigmentation Half or more (5) Days to Days Days from sowing to Flowering emergence of awns Plant height Centimeter (cm) Height from ground level to top of the longest spike excluding awns Spikes per plant Number Terminal Counting Spike length Centimeter (cm) Terminal Counting 5 spikes per plant Grains per spike Number Terminal Counting 5 spikes per plant Vegetative dry Gram Oven-dried for 48 hours at weight 70° C. Spikes dry Gram Oven-dried for 48 hours at weight 30° C. Table 12.

Grains per spike—At the end of the experiment (50% of the spikes were dry) all spikes from plots within blocks A-D were collected. The total number of grains from 5 spikes that were manually threshed was counted. The average grain per spike was calculated by dividing the total grain number by the number of spikes.

Grain average size (cm)—At the end of the experiment (50% of the spikes were dry) all spikes from plots within blocks A-D were collected. The total grains from 5 spikes that were manually threshed were scanned and images were analyzed using the digital imaging system. Grain scanning was done using Brother scanner (model DCP-135), at the 200 dpi resolution and analyzed with Image J software. The average grain size was calculated by dividing the total grain size by the total grain number.

Grain average weight (mgr)—At the end of the experiment (50% of the spikes were dry) all spikes from plots within blocks A-D were collected. The total grains from 5 spikes that were manually threshed were counted and weight. The average weight was calculated by dividing the total weight by the total grain number.

Grain yield per spike (gr)—At the end of the experiment (50% of the spikes were dry) all spikes from plots within blocks A-D were collected. The total grains from 5 spikes that were manually threshed were weight. The grain yield was calculated by dividing the total weight by the spike number.

Spike length analysis—At the end of the experiment (50% of the spikes were dry) all spikes from plots within blocks A-D were collected. The five chosen spikes per plant were measured using measuring tape excluding the awns.

Spike number analysis—At the end of the experiment (50% of the spikes were dry) all spikes from plots within blocks A-D were collected. The spikes per plant were counted.

Growth habit scoring—At the growth stage 10 (booting), each of the plants was scored for its growth habit nature. The scale that was used was 1 for prostate nature till 9 for erect.

Hairiness of basal leaves—At the growth stage 5 (leaf sheath strongly erect; end of tillering), each of the plants was scored for its hairiness nature of the leaf before the last. The scale that was used was 1 for prostate nature till 9 for erect.

Plant height—At the harvest stage (50% of spikes were dry) each of the plants was measured for its height using measuring tape. Height was measured from ground level to top of the longest spike excluding awns.

Days to flowering—Each of the plants was monitored for flowering date. Days of flowering was calculated from sowing date till flowering date.

Stem pigmentation—At the growth stage 10 (booting), each of the plants was scored for its stem color. The scale that was used was 1 for green till 5 for full purple.

Vegetative dry weight and spike yield—At the end of the experiment (50% of the spikes were dry) all spikes and vegetative material from plots within blocks A-D were collected. The biomass and spikes weight of each plot was separated, measured and divided by the number of plants.

Dry weight=total weight of the vegetative portion above ground (excluding roots) after drying at 70° C. in oven for 48 hours;

Spike yield per plant=total spike weight per plant (gr) after drying at 30° C. in oven for 48 hours.

Harvest Index (for barley)—The harvest index was calculated using Formula XVIII (described above).

TABLE 13 Barley correlated parameters (vectors) Correlated parameter with Correlation ID Grain weight [mg] 1 Grains Size [mm²] 2 Grains per spike 3 Growth habit [scores 1-9] 4 Hairiness of basal leaves [scoring 1-2] 5 Plant height [cm] 6 Seed Yield of 5 Spikes [gr] 7 Spike length [cm] 8 Spikes per plant 9 Stem pigmentation [scoring 1-5] 10 Vegetative dry weight [gr] 11 days to flowering [days] 12 Table 13.

Experimental Results

13 different Barley accessions were grown and characterized for 13 parameters as described above. The average for each of the measured parameter was calculated using the JMP software and values are summarized in Table 14 below. Subsequent correlation analysis between the various transcriptome sets (Table 11) and the average parameters, was conducted. Follow, results were integrated to the database.

TABLE 14 Measured parameters of correlation Ids in Barley accessions Cor. L ID. L-1 L-2 L-3 L-4 L-5 L-6 L-7 L-8 L-9 L-10 L-11 L-12 L-13 1 35.0 28.1 28.8 17.9 41.2 29.7 35.0 20.6 37.1 25.2 2 0.3 0.2 0.2 0.2 0.3 0.3 0.3 0.2 0.3 0.2 3 20.2 18.0 17.3 17.7 14.5 16.8 14.1 21.5 13.4 12.1 4 2.6 2.0 1.9 3.2 4.3 2.7 3.5 3.0 2.5 3.6 5 1.5 1.3 1.7 1.1 1.4 1.7 1.2 1.0 1.6 1.3 6 134.3 130.5 138.8 114.6 127.8 129.4 121.6 126.8 121.4 103.9 7 3.6 2.5 2.6 1.6 3.0 2.5 2.6 2.3 2.7 1.5 8 12.0 10.9 11.8 9.9 11.7 11.5 11.2 11.1 10.2 8.9 10 1.1 2.5 1.7 1.8 2.3 2.3 2.2 2.3 3.1 1.7 11 78.9 66.1 68.5 53.4 68.3 74.2 58.3 62.2 68.3 35.4 12 62.4 64.1 65.2 58.9 63.0 70.5 60.9 58.1 60.4 52.8 1 35.0 28.1 28.8 17.9 41.2 29.7 35.0 20.6 37.1 25.2 27.5 29.6 19.6 2 0.3 0.2 0.2 0.2 0.3 0.3 0.3 0.2 0.3 0.2 0.2 0.3 0.2 3 20.2 18.0 17.3 17.7 14.5 16.8 14.1 21.5 13.4 12.1 12.1 15.3 17.1 4 2.6 2.0 1.9 3.2 4.3 2.7 3.5 3.0 2.5 3.6 3.7 3.5 3.0 5 1.5 1.3 1.7 1.1 1.4 1.7 1.2 1.0 1.6 1.3 1.2 1.1 1.2 6 134.3 130.5 138.8 114.6 127.8 129.4 121.6 126.8 121.4 103.9 99.8 118.4 117.2 7 3.6 2.5 2.6 1.6 3.0 2.5 2.6 2.3 2.7 1.5 1.7 2.4 1.7 8 12.0 10.9 11.8 9.9 11.7 11.5 11.2 11.1 10.2 8.9 8.6 10.5 9.8 9 48.8 48.3 37.4 61.9 33.3 41.7 40.6 62.0 50.6 40.0 49.3 43.1 51.4 10 1.1 2.5 1.7 1.8 2.3 2.3 2.2 2.3 3.1 1.7 1.8 1.6 2.2 11 78.9 66.1 68.5 53.4 68.3 74.2 58.3 62.2 68.3 35.4 38.3 56.1 42.7 12 62.4 64.1 65.2 58.9 63.0 70.5 60.9 58.1 60.4 52.8 53.0 64.6 56.0 Table 14. Provided are the values of each of the parameters (as described above) measured in barley accessions (line, “L”) under normal growth conditions. Growth conditions are specified in the experimental procedure section.

TABLE 15 Correlation between the expression level of WNU selected genes of some embodiments of the invention in various tissues and the phenotypic performance under normal fertilization conditions across barley accessions Gene Exp. Cor. Gene Exp. Cor. Name R P value set Set ID Name R P value set Set ID LAB446 0.748 2.05E−02 1 3 LYM82 0.830 5.62E−03 3 6 LYM82 0.785 4.24E−03 3 8 LYM82 0.815 2.22E−03 3 7 LYM82 0.864 6.09E−04 3 11 LYM82 0.888 1.40E−03 3 12 WNU10 0.721 4.36E−02 2 4 WNU10 0.894 2.72E−03 3 9 WNU11 0.711 4.79E−02 1 9 WNU11 0.758 1.79E−02 3 2 WNU11 0.749 7.95E−03 3 1 WNU12 0.862 2.83E−03 1 2 WNU12 0.812 7.80E−03 1 1 WNU12 0.808 1.52E−02 3 9 WNU13 0.788 1.16E−02 1 2 WNU13 0.826 6.06E−03 1 1 WNU14 0.809 2.56E−03 3 9 WNU15 0.784 2.14E−02 1 9 WNU16 0.811 4.43E−03 2 6 WNU16 0.753 3.12E−02 2 12 WNU16 0.766 9.84E−03 2 5 WNU16 0.843 4.35E−03 3 2 WNU16 0.869 2.38E−03 3 1 WNU17 0.833 1.02E−02 2 3 WNU17 0.796 1.02E−02 3 11 WNU17 0.765 1.64E−02 3 12 WNU18 0.882 1.64E−03 1 2 WNU18 0.866 2.52E−03 1 1 WNU19 0.807 1.54E−02 2 4 WNU20 0.768 9.43E−03 2 4 WNU20 0.744 3.45E−02 3 9 WNU23 0.930 2.83E−04 1 5 WNU26 0.901 8.96E−04 3 4 WNU27 0.733 2.47E−02 1 5 WNU29 0.810 8.14E−03 1 5 WNU29 0.840 4.61E−03 3 2 WNU29 0.802 9.37E−03 3 1 WNU31 0.768 9.48E−03 2 2 WNU31 0.725 4.18E−02 2 1 WNU31 0.759 2.89E−02 2 7 WNU33 0.767 2.63E−02 2 5 WNU33 0.790 3.80E−03 3 2 WNU34 0.833 1.02E−02 3 9 WNU35 0.756 3.02E−02 2 4 WNU35 0.887 3.32E−03 3 9 WNU36 0.723 1.19E−02 3 9 WNU37 0.727 4.08E−02 1 9 WNU38 0.705 2.28E−02 2 4 WNU39 0.800 9.62E−03 1 7 WNU39 0.763 2.77E−02 3 9 WNU39 0.712 3.14E−02 3 3 WNU40 0.707 3.34E−02 1 2 WNU40 0.800 1.71E−02 2 5 WNU40 0.728 2.62E−02 3 12 WNU44 0.809 8.22E−03 1 2 WNU44 0.827 5.92E−03 1 1 WNU44 0.786 1.21E−02 1 7 WNU44 0.757 1.83E−02 1 5 WNU44 0.827 1.12E−02 3 9 WNU8 0.825 1.18E−02 2 4 WNU8 0.776 1.39E−02 3 12 WNU9 0.852 7.23E−03 2 10 Table 15. “Corr. ID”—correlation set ID according to the correlated parameters Table above. “Exp. Set”—Expression set. “R” = Pearson correlation coefficient; “P” = p value.

Example 6 Production of Barley Transcriptome and High Throughput Correlation Analysis Using 60K Barley Oligonucleotide Micro-Array

In order to produce a high throughput correlation analysis comparing between plant phenotype and gene expression level, the present inventors utilized a Barley oligonucleotide micro-array, produced by Agilent Technologies [chem. (dot) agilent (dot) com/Scripts/PDS (dot) asp?lPage=50879]. The array oligonucleotide represents about 60K Barley genes and transcripts. In order to define correlations between the levels of RNA expression and yield or vigor related parameters, various plant characteristics of 15 different Barley accessions were analyzed. Among them, 10 accessions encompassing the observed variance were selected for RNA expression analysis. The correlation between the RNA levels and the characterized parameters was analyzed using Pearson correlation test [davidmlane (dot) com/hyperstat/A34739 (dot) html].

Experimental Procedures

15 Barley accessions in 5 repetitive blocks, each containing 5 plants per pot were grown at net house. Three different treatments were applied: plants were regularly fertilized and watered during plant growth until harvesting (as recommended for commercial growth, plants were irrigated 2-3 times a week, and fertilization was given in the first 1.5 months of the growth period) or under low Nitrogen (80% percent less Nitrogen) or under drought stress (cycles of drought and re-irrigating were conducted throughout the whole experiment, overall 40% less water were given in the drought treatment).

Analyzed Barley tissues Five tissues at different developmental stages [leaf, stem, root tip and adventitious root, flower], representing different plant characteristics, were sampled and RNA was extracted as described above. Each micro-array expression information tissue type has received a Set ID as summarized in Table 16 below.

TABLE 16 Barley transcriptome expression sets of vegetative developmental stage Expression Set Set ID adv root T3 low N 1 adv root T3 normal 2 leaf T3 low N 3 leaf T3 low normal 4 root tip T3 low N 5 root tip T3 normal 6 Table 16. Provided are the barley transcriptome expression sets.

TABLE 17 Barley transcriptome expression sets of reproductive developmental stage Expression Set Set ID booting spike:low N: 1 booting spike:normal: 2 leaf:low N: 3 leaf:normal: 4 stem:low N: 5 stem:normal: 6 Table 17. Provided are the barley transcriptome expression sets.

Barley yield components and vigor related parameters assessment—Plants were phenotyped on a daily basis following the parameters listed in Table 18 below. Harvest was conducted while all the spikes were dry. All material was oven dried and the seeds were threshed manually from the spikes prior to measurement of the seed characteristics (weight and size) using scanning and image analysis. The image analysis system included a personal desktop computer (Intel P4 3.0 GHz processor) and a public domain program—ImageJ 1.37 (Java based image processing program, which was developed at the U.S. National Institutes of Health and freely available on the internet [rsbweb (dot) nih (dot) gov/]. Next, analyzed data was saved to text files and processed using the JMP statistical analysis software (SAS institute).

Grain yield (gr.)—At the end of the experiment all spikes of the pots were collected. The total grains from all spikes that were manually threshed were weighted. The grain yield was calculated by per plot or per plant.

Spike length and width analysis—At the end of the experiment the length and width of five chosen spikes per plant were measured using measuring tape excluding the awns.

Spike number analysis—The spikes per plant were counted.

Plant height—Each of the plants was measured for its height using measuring tape. Height was measured from ground level to top of the longest spike excluding awns at two time points at the Vegetative growth (30 days after sowing) and at harvest.

Spike weight—The biomass and spikes weight of each plot was separated, measured and divided by the number of plants.

Dry weight=total weight of the vegetative portion above ground (excluding roots) after drying at 70° C. in oven for 48 hours at two time points at the Vegetative growth (30 days after sowing) and at harvest.

Spikelet per spike=number of spikelets per spike was counted.

Root/Shoot Ratio—The Root/Shoot Ratio was calculated using Formula XXII above.

Total No. of tillers—tillers were counted per plot at two time points at the Vegetative growth (30 days after sowing) and at harvest.

Percent of reproductive tillers—the number of reproductive tillers barring a spike at harvest was divided by the total numbers of tillers.

SPAD—Chlorophyll content was determined using a Minolta SPAD 502 chlorophyll meter and measurement was performed at time of flowering. SPAD meter readings were done on young fully developed leaf. Three measurements per leaf were taken per plot. Root FW (gr.), root length (cm) and No. of lateral roots—3 plants per plot were selected for measurement of root weight, root length and for counting the number of lateral roots formed. Shoot FW (fresh weight)—weight of 3 plants per plot were recorded at different time-points. Average Grain Area (cm²)—At the end of the growing period the grains were separated from the spike. A sample of ˜200 grains was weighted, photographed and images were processed using the below described image processing system. The grain area was measured from those images and was divided by the number of grains.

Average Grain Length and width (cm)—At the end of the growing period the grains were separated from the spike. A sample of ˜200 grains was weighted, photographed and images were processed using the below described image processing system. The sum of grain lengths or width (longest axis) was measured from those images and was divided by the number of grains.

Average Grain perimeter (cm)—At the end of the growing period the grains were separated from the spike. A sample of -200 grains was weighted, photographed and images were processed using the below described image processing system. The sum of grain perimeter was measured from those images and was divided by the number of grains.

Heading date—the day in which booting stage was observed was recorded and number of days from sowing to heading was calculated. Relative water content—Fresh weight (FW) of three leaves from three plants each from different seed ID was immediately recorded; then leaves were soaked for 8 hours in distilled water at room temperature in the dark, and the turgid weight (TW) was recorded. Total dry weight (DW) was recorded after drying the leaves at 60° C. to a constant weight. Relative water content (RWC) is calculated according to Formula I above.

Harvest Index (for barley)—The harvest index was calculated using Formula XVIII above.

Growth rate: the growth rate (GR) of Plant Height (Formula III above), SPAD (Formula IV above) and number of tillers (Formula V above) were calculated using the indicated Formulas.

Ratio low N/Normal: Represents ratio for the specified parameter of low N condition results divided by Normal conditions results (maintenance of phenotype under low N in comparison to normal conditions).

TABLE 18 Barley correlated parameters (vectors) Correlated parameter with Correlation ID Lateral Roots 1 Lateral Roots NUE ratio 2 Leaf Area [cm²] 3 Leaf Area NUE ratio 4 Leaf Length [cm] 5 Leaf Length NUE ratio 6 Num Leaves 7 Num Leaves NUE ratio 8 Num Seeds 9 Num Seeds NUE ratio 10 Num Spikes 11 Num Spikes NUE ratio 12 Num Tillers 13 Plant Height [cm] 14 Plant Height NUE ratio 15 Root FW[gr] 16 Root FW NUE ratio 17 Root Length[cm] 18 Root Length NUE ratio 19 SPAD 20 SPAD NUE ratio 21 Seed Yield[gr] 22 Seed Yield NUE ratio 23 Shoot FW[gr] 24 Shoot FW NUE ratio 25 Spike Length[cm] 26 Spike Length NUE ratio 27 Spike Width [mm] 28 Spike Width NUE ratio 29 Spike weight[gr] 30 Spike weight NUE ratio 31 Tiller survival NUE 32 Tiller survival NUE ratio 33 Tiller survival Normal 34 Total Tillers 35 Total Tillers NUE ratio 36 Table 18. Provided are the barley correlated parameters.

Experimental Results

15 different Barley accessions were grown and characterized for different parameters as described above. Table 18 describes the Barley correlated parameters. The average for each of the measured parameter was calculated using the JMP software and values are summarized in Tables 19-20 below. Subsequent correlation analysis between the various transcriptome sets and the average parameters was conducted (Table 21). Follow, results were integrated to the database.

TABLE 19 Measured parameters of correlation IDs in Barley accessions under normal conditions Corr. Line ID ID L-1 L-2 L-3 L-4 L-5 L-6 L-7 L-8 L-9 L-10 L-11 L-12 L-13 L-14 L-15 1 7.0 7.0 8.3 6.3 8.0 8.7 8.7 8.3 9.7 10.7 9.7 9.7 8.7 10.0 9.7 3 294.0 174.0 309.5 75.1 317.6 305.1 198.6 273.0 275.6 313.5 308.5 258.8 291.1 299.4 296.1 5 501.5 386.4 478.3 278.5 496.7 467.6 348.0 498.5 593.7 534.5 550.9 479.0 399.3 384.3 469.6 7 24.2 22.0 19.5 20.2 21.4 20.8 18.2 22.7 25.5 23.2 28.3 22.2 19.0 17.3 22.0 9 1093.5 263.3 987.8 157.7 972.6 683.4 510.5 242.4 581.8 621.0 1069.0 903.2 949.9 984.2 767.6 11 41.5 48.0 30.0 54.7 27.6 38.6 32.0 36.0 71.4 34.2 45.6 49.8 28.0 19.3 38.0 13 2.0 1.3 2.3 2.0 1.3 2.3 2.0 1.0 2.3 2.3 3.3 2.3 1.3 1.3 1.7 14 64.7 52.8 68.0 44.0 76.2 76.4 84.0 67.4 82.0 72.0 56.6 65.8 62.8 91.6 66.2 16 0.3 0.2 0.2 0.4 0.5 0.2 0.3 0.3 0.4 0.6 0.3 0.4 0.3 0.2 0.3 18 21.3 15.2 14.0 17.4 27.8 14.3 15.0 21.8 20.3 27.2 16.0 24.0 13.5 21.5 15.2 20 39.1 32.5 36.5 36.5 36.7 39.2 41.4 35.2 33.7 34.2 42.8 37.0 36.9 35.0 36.8 22 46.4 5.7 39.7 3.7 42.4 33.2 19.8 10.8 22.6 30.3 54.1 37.0 42.0 35.4 38.3 24 2.2 1.6 2.5 1.3 2.1 1.9 1.9 1.3 3.0 15.6 3.0 2.6 1.8 2.2 1.8 26 16.5 15.9 19.8 13.1 17.0 19.3 19.2 18.3 20.4 17.2 19.1 20.3 21.7 16.5 16.1 28 9.5 5.8 10.0 4.3 10.0 9.0 9.1 8.3 6.6 10.5 8.8 7.4 10.4 10.2 10.4 30 69.4 21.7 63.5 16.9 60.1 69.8 39.4 34.9 50.3 60.8 79.1 62.7 60.0 55.9 59.7 34 0.9 NA 0.9 2.1 1.0 0.9 0.8 0.9 1.5 1.0 0.9 1.0 1.0 0.7 1.0 35 46.7 NA 32.4 26.0 28.5 44.3 41.6 40.0 48.8 34.6 48.6 49.2 29.0 27.5 38.8 Table 19. Provided are the values of each of the parameters (as described above) measured in Barley accessions (line, “L”) under growth conditions as described above. Growth conditions are specified in the experimental procedure section.

TABLE 20 Measured parameters of correlation IDs in Barley accessions under low N conditions Corr. Line ID ID L-1 L-2 L-3 L-4 L-5 L-6 L-7 L-8 L-9 L-10 L-11 L-12 L-13 L-14 L-15 1 5.0 5.0 6.7 4.3 5.3 5.3 6.0 4.3 6.0 6.3 6.0 6.7 4.7 5.7 7.3 2 0.7 0.7 0.8 0.7 0.7 0.6 0.7 0.5 0.6 0.6 0.6 0.7 0.5 0.6 0.8 3 39.4 49.9 54.1 37.0 74.8 53.0 46.3 51.5 57.1 67.8 64.2 52.4 46.2 68.0 57.9 4 0.1 0.3 0.2 0.5 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 5 102.9 128.5 135.9 120.3 148.0 123.7 107.8 111.6 142.4 152.4 149.3 124.1 95.0 124.1 135.2 6 0.2 0.3 0.3 0.4 0.3 0.3 0.3 0.2 0.2 0.3 0.3 0.3 0.2 0.3 0.3 7 8.0 10.0 10.7 9.7 8.6 9.2 8.0 7.5 8.5 10.0 11.5 8.6 6.3 7.5 10.0 8 0.3 0.5 0.5 0.5 0.4 0.4 0.4 0.3 0.3 0.4 0.4 0.4 0.3 0.4 0.5 9 230.2 61.6 159.4 65.8 139.6 153.2 164.6 88.3 133.6 106.0 222.6 219.2 143.5 201.8 125.0 10 0.2 0.2 0.2 0.4 0.1 0.2 0.3 0.4 0.2 0.2 0.2 0.2 0.2 0.2 0.2 11 12.2 12.0 8.4 16.4 7.6 10.8 9.0 11.6 25.0 7.8 14.5 15.0 7.0 5.4 8.4 12 0.3 0.3 0.3 0.3 0.3 0.3 0.3 0.3 0.4 0.2 0.3 0.3 0.3 0.3 0.2 14 41.0 57.4 60.6 69.0 65.6 75.2 82.0 61.4 59.4 65.8 47.8 53.8 56.4 81.8 44.6 15 20.5 43.1 26.0 34.5 49.2 32.2 41.0 61.4 25.5 28.2 14.3 23.1 42.3 61.4 26.8 16 0.4 0.1 0.6 0.1 0.3 0.4 0.2 0.1 0.4 0.9 0.5 0.4 0.3 0.3 0.6 17 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 18 24.7 17.2 24.5 18.8 21.0 21.7 21.7 22.0 21.7 22.2 23.0 30.5 22.8 23.8 24.5 19 92.5 85.8 105.0 51.4 46.7 92.9 81.3 88.0 61.9 35.9 86.3 87.1 72.1 102.1 91.9 20 24.0 18.6 23.0 22.0 24.5 25.6 23.3 26.5 23.9 26.6 23.2 25.4 24.2 25.0 26.1 21 11.1 11.7 9.2 17.6 11.9 13.6 12.3 21.2 8.0 1.7 7.7 9.8 13.8 11.5 14.3 22 9.8 1.1 6.4 1.4 6.7 6.7 7.3 3.3 5.1 6.0 9.7 7.4 5.8 7.8 6.3 23 0.5 0.1 0.5 0.1 0.2 0.5 0.5 0.2 0.2 0.2 0.6 0.3 0.4 0.4 0.4 24 0.4 0.2 0.5 0.3 0.4 0.6 0.4 0.3 0.6 0.8 0.5 0.5 0.4 0.5 0.6 25 0.0 0.0 0.0 0.1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 26 15.2 15.0 20.3 12.4 16.8 18.9 19.6 16.3 19.3 90.2 16.4 20.4 18.8 18.8 16.7 27 0.4 0.5 0.6 0.3 0.5 0.5 0.5 0.5 0.6 2.6 0.4 0.6 0.5 0.5 0.5 28 8.0 7.6 8.4 6.2 9.1 9.1 8.1 9.4 4.9 9.6 7.2 7.1 8.5 10.0 9.4 29 0.1 0.4 0.1 0.4 0.2 0.1 0.2 0.3 0.1 0.2 0.1 0.1 0.1 0.2 0.2 30 13.7 5.0 11.6 5.7 12.4 11.4 13.4 9.2 11.6 11.3 15.1 12.2 11.0 12.2 10.6 31 0.8 0.3 0.6 0.4 0.7 0.6 0.7 0.5 0.6 0.7 0.8 0.6 0.5 0.7 0.7 32 0.8 NA 0.7 0.5 0.7 0.7 0.6 0.7 1.2 0.6 0.8 0.7 0.6 0.8 0.6 33 0.8 NA 0.8 0.2 0.7 0.8 0.8 0.8 0.8 0.6 0.8 0.7 0.7 1.1 0.6 35 16.2 NA 12.0 35.0 10.8 16.0 14.6 16.0 20.8 12.5 18.8 21.2 11.0 6.8 14.0 36 1.7 NA 1.2 8.1 1.1 1.8 1.6 1.9 3.2 1.2 2.1 2.9 1.1 0.7 1.4 Table 20.

TABLE 21 Correlation between the expression level of selected genes of some embodiments of the invention in various tissues and the phenotypic performance under normal or low nitrogen fertilization conditions across barley accessions (vegetative developmental stages) Gene Exp. Cor. Gene Exp. Cor. Name R P value set Set ID Name R P value set Set ID LAB21 0.848 3.91E−03 1 10 LAB21 0.711 3.17E−02 1 12 LAB21 0.826 3.25E−03 5 33 LAB446 0.788 1.16E−02 1 10 LAB446 0.723 1.82E−02 5 31 LAB446 0.849 3.76E−03 3 27 LAB446 0.859 3.04E−03 3 26 LYM316 0.731 3.94E−02 6 13 LYM316 0.758 1.10E−02 5 18 LYM316 0.711 3.16E−02 2 13 LYM316 0.865 2.61E−03 3 27 LYM316 0.901 9.04E−04 3 17 LYM316 0.867 2.47E−03 3 26 LYM316 0.894 1.13E−03 3 18 LYM316 0.833 5.35E−03 3 24 LYM316 0.900 9.58E−04 3 16 LYM82 0.873 2.14E−03 1 12 LYM82 0.722 1.84E−02 5 32 LYM82 0.761 1.73E−02 2 16 WNU10 0.789 1.99E−02 6 20 WNU10 0.734 2.44E−02 1 28 WNU10 0.801 5.33E−03 5 2 WNU10 0.718 2.95E−02 2 20 WNU10 0.707 3.31E−02 3 14 WNU11 0.781 2.21E−02 6 26 WNU11 0.810 8.10E−03 1 11 WNU11 0.865 2.63E−03 1 32 WNU11 0.714 2.04E−02 5 20 WNU11 0.734 2.43E−02 3 27 WNU11 0.734 2.43E−02 3 26 WNU12 0.754 1.90E−02 2 1 WNU12 0.750 1.99E−02 3 21 WNU13 0.706 2.25E−02 5 17 WNU13 0.713 2.07E−02 5 24 WNU13 0.759 1.09E−02 5 16 WNU13 0.709 2.18E−02 5 5 WNU13 0.824 6.34E−03 3 6 WNU13 0.854 3.39E−03 3 4 WNU13 0.806 8.69E−03 3 8 WNU14 0.852 3.52E−03 1 18 WNU14 0.793 1.08E−02 3 31 WNU15 0.767 1.59E−02 3 1 WNU15 0.736 2.39E−02 3 5 WNU16 0.868 5.16E−03 6 16 WNU16 0.735 1.54E−02 5 7 WNU16 0.752 1.21E−02 5 1 WNU16 0.827 3.17E−03 5 17 WNU16 0.818 3.79E−03 5 24 WNU16 0.842 2.23E−03 5 16 WNU17 0.721 1.85E−02 5 31 WNU17 0.744 1.35E−02 5 1 WNU17 0.842 2.26E−03 5 2 WNU17 0.719 1.92E−02 5 24 WNU17 0.741 1.42E−02 5 16 WNU18 0.760 1.74E−02 2 9 WNU18 0.777 1.37E−02 2 30 WNU18 0.735 2.42E−02 2 22 WNU19 0.773 2.44E−02 6 35 WNU19 0.776 2.37E−02 6 7 WNU19 0.836 9.78E−03 6 18 WNU19 0.726 2.69E−02 1 18 WNU19 0.817 3.90E−03 5 35 WNU19 0.732 1.60E−02 5 11 WNU19 0.825 3.29E−03 5 36 WNU19 0.771 1.51E−02 2 35 WNU19 0.756 1.85E−02 2 11 WNU19 0.730 2.54E−02 3 35 WNU19 0.736 2.37E−02 3 29 WNU19 0.861 2.88E−03 3 21 WNU19 0.802 9.28E−03 3 36 WNU19 0.722 2.81E−02 3 18 WNU20 0.738 3.67E−02 6 35 WNU20 0.779 1.34E−02 2 35 WNU20 0.943 1.40E−04 3 27 WNU20 0.943 1.35E−04 3 26 WNU20 0.782 1.27E−02 3 24 WNU20 0.766 1.60E−02 3 16 WNU21 0.813 1.41E−02 6 34 WNU21 0.710 4.86E−02 6 11 WNU21 0.709 3.24E−02 1 3 WNU21 0.724 1.80E−02 5 32 WNU21 0.750 1.99E−02 2 18 WNU21 0.878 1.83E−03 2 24 WNU21 0.937 1.90E−04 2 16 WNU21 0.739 2.30E−02 3 7 WNU21 0.709 3.23E−02 3 2 WNU21 0.803 9.20E−03 3 17 WNU21 0.827 5.91E−03 3 24 WNU21 0.821 6.69E−03 3 16 WNU22 0.797 1.01E−02 3 7 WNU22 0.815 7.44E−03 3 27 WNU22 0.870 2.32E−03 3 17 WNU22 0.820 6.78E−03 3 26 WNU22 0.947 1.06E−04 3 24 WNU22 0.926 3.32E−04 3 16 WNU22 0.737 2.34E−02 3 5 WNU23 0.736 2.39E−02 1 1 WNU23 0.837 4.93E−03 2 20 WNU25 0.754 3.05E−02 6 20 WNU25 0.880 1.75E−03 2 35 WNU26 0.704 3.41E−02 2 9 WNU26 0.873 2.13E−03 3 9 WNU27 0.891 2.97E−03 6 35 WNU27 0.857 6.60E−03 6 11 WNU27 0.797 1.77E−02 6 7 WNU27 0.711 4.80E−02 6 24 WNU27 0.756 3.01E−02 6 13 WNU27 0.850 7.56E−03 6 5 WNU27 0.808 8.45E−03 3 7 WNU27 0.730 2.56E−02 3 24 WNU28 0.931 2.69E−04 1 10 WNU28 0.839 4.73E−03 1 29 WNU28 0.736 2.38E−02 1 21 WNU29 0.758 2.94E−02 6 24 WNU29 0.744 3.41E−02 6 13 WNU29 0.856 1.59E−03 5 27 WNU29 0.854 1.67E−03 5 17 WNU29 0.850 1.83E−03 5 26 WNU29 0.814 4.14E−03 5 24 WNU29 0.912 2.41E−04 5 16 WNU29 0.752 1.95E−02 2 35 WNU29 0.804 8.95E−03 2 7 WNU29 0.839 4.73E−03 3 27 WNU29 0.723 2.78E−02 3 17 WNU29 0.829 5.69E−03 3 26 WNU29 0.866 2.51E−03 3 24 WNU29 0.798 9.97E−03 3 16 WNU30 0.790 1.97E−02 6 34 WNU30 0.722 2.80E−02 1 33 WNU30 0.713 3.09E−02 1 12 WNU30 0.723 1.82E−02 5 33 WNU30 0.720 1.89E−02 5 32 WNU30 0.711 3.19E−02 2 34 WNU30 0.814 7.53E−03 2 16 WNU30 0.738 2.31E−02 3 4 WNU31 0.758 2.93E−02 6 11 WNU31 0.833 1.02E−02 6 7 WNU31 0.764 2.74E−02 6 24 WNU31 0.808 1.53E−02 6 5 WNU31 0.700 3.56E−02 1 11 WNU31 0.857 3.15E−03 1 18 WNU31 0.807 4.73E−03 5 1 WNU31 0.781 7.63E−03 5 33 WNU31 0.849 3.83E−03 2 9 WNU31 0.716 3.02E−02 2 1 WNU31 0.718 2.95E−02 2 30 WNU31 0.760 1.75E−02 2 22 WNU31 0.840 4.57E−03 3 6 WNU31 0.905 7.93E−04 3 11 WNU31 0.704 3.41E−02 3 36 WNU31 0.939 1.72E−04 3 32 WNU31 0.708 3.30E−02 3 4 WNU31 0.746 2.11E−02 3 3 WNU31 0.816 7.37E−03 3 8 WNU32 0.735 3.80E−02 6 20 WNU33 0.749 2.01E−02 2 30 WNU33 0.779 1.33E−02 2 13 WNU33 0.789 1.15E−02 3 11 WNU33 0.766 1.60E−02 3 36 WNU34 0.708 3.30E−02 1 1 WNU34 0.759 1.78E−02 1 2 WNU34 0.715 3.05E−02 1 18 WNU34 0.737 2.36E−02 2 9 WNU34 0.840 4.62E−03 3 30 WNU35 0.764 1.65E−02 1 2 WNU35 0.719 2.89E−02 1 17 WNU35 0.728 2.63E−02 1 20 WNU35 0.729 2.60E−02 1 16 WNU35 0.765 1.62E−02 2 9 WNU35 0.759 1.77E−02 2 30 WNU35 0.741 2.24E−02 2 22 WNU35 0.719 2.90E−02 3 10 WNU35 0.872 2.19E−03 3 21 WNU35 0.756 1.84E−02 3 19 WNU36 0.717 2.96E−02 1 18 WNU36 0.731 2.54E−02 3 15 WNU36 0.700 3.56E−02 3 33 WNU37 0.827 1.14E−02 6 24 WNU37 0.788 2.02E−02 6 16 WNU37 0.731 3.96E−02 6 13 WNU37 0.861 2.87E−03 1 18 WNU37 0.850 3.70E−03 1 3 WNU37 0.704 2.32E−02 5 7 WNU37 0.773 8.73E−03 5 1 WNU37 0.822 3.55E−03 5 2 WNU37 0.750 1.25E−02 5 17 WNU37 0.863 2.74E−03 3 27 WNU37 0.715 3.03E−02 3 36 WNU37 0.751 1.96E−02 3 17 WNU37 0.861 2.84E−03 3 26 WNU37 0.833 5.32E−03 3 19 WNU37 0.735 2.41E−02 3 18 WNU37 0.749 2.03E−02 3 24 WNU37 0.791 1.11E−02 3 16 WNU38 0.780 2.25E−02 6 35 WNU38 0.758 2.93E−02 6 13 WNU38 0.756 1.85E−02 1 28 WNU38 0.778 8.04E−03 5 2 WNU38 0.856 1.59E−03 5 17 WNU38 0.800 5.48E−03 5 16 WNU38 0.731 2.52E−02 3 28 WNU38 0.725 2.70E−02 3 31 WNU39 0.770 2.53E−02 6 7 WNU39 0.886 3.38E−03 6 24 WNU39 0.792 1.92E−02 6 30 WNU39 0.869 5.13E−03 6 13 WNU39 0.709 4.90E−02 6 22 WNU39 0.837 2.50E−03 5 35 WNU39 0.865 1.22E−03 5 11 WNU39 0.922 1.47E−04 5 36 WNU39 0.756 1.13E−02 5 12 WNU39 0.790 1.13E−02 2 35 WNU39 0.788 1.16E−02 2 13 WNU39 0.781 1.30E−02 3 11 WNU39 0.839 4.74E−03 3 32 WNU40 0.868 1.14E−03 5 33 WNU41 0.841 8.87E−03 6 9 WNU41 0.894 2.75E−03 6 30 WNU41 0.912 1.58E−03 6 22 WNU41 0.890 1.29E−03 1 18 WNU41 0.744 1.36E−02 5 21 WNU41 0.748 1.28E−02 5 23 WNU41 0.701 3.53E−02 3 35 WNU41 0.798 9.91E−03 3 31 WNU41 0.935 2.14E−04 3 11 WNU41 0.838 4.80E−03 3 36 WNU41 0.880 1.77E−03 3 32 WNU42 0.749 2.02E−02 1 1 WNU42 0.730 1.66E−02 5 10 WNU42 0.787 6.85E−03 5 21 WNU42 0.868 2.42E−03 2 20 WNU42 0.846 4.05E−03 3 11 WNU42 0.794 1.06E−02 3 32 WNU43 0.785 1.21E−02 1 14 WNU43 0.729 2.60E−02 1 15 WNU43 0.990 3.52E−07 2 24 WNU43 0.946 1.16E−04 2 16 WNU44 0.715 3.04E−02 1 1 WNU44 0.701 3.55E−02 1 2 WNU44 0.701 2.39E−02 5 12 WNU44 0.819 6.97E−03 3 27 WNU44 0.833 5.35E−03 3 26 WNU44 0.756 1.85E−02 3 24 WNU44 0.760 1.75E−02 3 16 WNU8 0.705 5.07E−02 6 20 WNU8 0.771 2.52E−02 6 30 WNU8 0.787 2.04E−02 6 13 WNU8 0.754 3.07E−02 6 22 WNU8 0.732 2.50E−02 1 28 WNU8 0.769 1.55E−02 1 15 WNU8 0.812 7.80E−03 1 33 WNU8 0.703 2.32E−02 5 27 WNU8 0.857 1.54E−03 5 20 WNU8 0.724 1.78E−02 5 18 WNU8 0.703 3.45E−02 3 31 WNU8 0.956 5.59E−05 3 30 WNU8 0.782 1.28E−02 3 9 WNU8 0.748 2.04E−02 3 23 WNU8 0.860 2.94E−03 3 22 WNU9 0.703 3.47E−02 3 35 WNU9 0.709 3.26E−02 3 36 WNU9 0.735 2.42E−02 3 9 Table 21. “Corr. ID”—correlation set ID according to the correlated parameters Table above. “Exp. Set”—Expression set. “R” = Pearson correlation coefficient; “P” = p value.

TABLE 22 Correlation between the expression level of selected genes of some embodiments of the invention in various tissues and the phenotypic performance under normal or low nitrogen fertilization conditions across barley accessions (reproductive developmental stages) Gene Exp. Corr. Gene Exp. Corr. Name R P value set Set ID Name R P value set Set ID LAB21 0.747 1.31E−02 2 34 LAB21 0.725 1.77E−02 3 4 LAB21 0.718 1.95E−02 3 3 LAB21 0.712 2.08E−02 1 11 LAB21 0.882 7.27E−04 1 32 LAB446 0.709 2.17E−02 5 23 LYM316 0.714 2.03E−02 6 13 LYM316 0.760 1.07E−02 5 27 LYM316 0.749 1.26E−02 5 26 LYM316 0.802 5.23E−03 5 25 LYM316 0.732 1.61E−02 4 13 LYM82 0.781 7.64E−03 5 25 LYM82 0.754 1.17E−02 5 24 LYM82 0.725 1.76E−02 5 16 WNU10 0.795 6.01E−03 6 13 WNU10 0.865 1.23E−03 3 35 WNU10 0.719 1.92E−02 3 11 WNU10 0.823 3.44E−03 3 36 WNU10 0.746 1.31E−02 5 35 WNU10 0.772 8.87E−03 5 11 WNU10 0.736 1.52E−02 5 36 WNU11 0.780 7.81E−03 2 34 WNU11 0.717 1.97E−02 2 18 WNU11 0.827 3.19E−03 2 24 WNU11 0.854 1.66E−03 2 16 WNU11 0.724 1.79E−02 3 10 WNU11 0.752 1.21E−02 3 11 WNU11 0.736 1.53E−02 3 36 WNU11 0.755 1.16E−02 3 32 WNU11 0.747 1.30E−02 5 35 WNU11 0.763 1.03E−02 5 15 WNU11 0.922 1.44E−04 1 35 WNU11 0.835 2.62E−03 1 11 WNU11 0.778 8.09E−03 1 1 WNU11 0.920 1.60E−04 1 36 WNU12 0.813 4.25E−03 3 7 WNU14 0.710 2.13E−02 3 6 WNU14 0.770 9.23E−03 3 29 WNU14 0.748 1.29E−02 3 3 WNU14 0.801 5.38E−03 5 14 WNU15 0.742 1.40E−02 3 7 WNU15 0.773 8.71E−03 3 1 WNU15 0.702 2.36E−02 1 11 WNU16 0.798 5.67E−03 2 18 WNU16 0.714 2.04E−02 2 16 WNU16 0.759 1.09E−02 3 2 WNU16 0.708 2.19E−02 4 24 WNU16 0.841 2.28E−03 4 16 WNU17 0.748 1.28E−02 2 34 WNU17 0.766 9.81E−03 3 5 WNU17 0.750 1.24E−02 4 16 WNU17 0.878 8.26E−04 1 7 WNU17 0.797 5.80E−03 1 17 WNU17 0.710 2.15E−02 1 24 WNU17 0.793 6.21E−03 1 16 WNU17 0.764 1.01E−02 1 5 WNU18 0.728 1.71E−02 6 34 WNU18 0.859 1.45E−03 6 11 WNU18 0.741 1.41E−02 6 5 WNU19 0.732 1.61E−02 2 35 WNU19 0.736 1.52E−02 2 11 WNU19 0.708 2.20E−02 2 14 WNU19 0.775 8.44E−03 2 3 WNU19 0.728 1.69E−02 6 34 WNU19 0.792 6.37E−03 6 11 WNU19 0.756 1.14E−02 6 1 WNU19 0.730 1.66E−02 6 24 WNU19 0.767 9.66E−03 6 3 WNU19 0.839 2.40E−03 3 35 WNU19 0.864 1.28E−03 3 11 WNU19 0.912 2.33E−04 3 36 WNU19 0.798 5.65E−03 5 35 WNU19 0.782 7.52E−03 5 11 WNU19 0.723 1.81E−02 5 1 WNU19 0.805 4.97E−03 5 36 WNU19 0.710 2.15E−02 5 32 WNU19 0.731 1.64E−02 4 34 WNU19 0.848 1.91E−03 4 11 WNU19 0.896 4.51E−04 1 35 WNU19 0.873 9.85E−04 1 11 WNU19 0.900 3.90E−04 1 27 WNU19 0.902 3.63E−04 1 36 WNU19 0.907 2.92E−04 1 26 WNU19 0.756 1.14E−02 1 16 WNU20 0.701 2.38E−02 2 20 WNU20 0.800 5.46E−03 2 9 WNU20 0.811 4.45E−03 2 22 WNU20 0.863 1.28E−03 6 26 WNU20 0.733 1.60E−02 4 20 WNU20 0.712 2.08E−02 4 9 WNU20 0.799 5.59E−03 4 22 WNU21 0.816 3.96E−03 2 26 WNU21 0.795 5.94E−03 3 28 WNU21 0.774 8.60E−03 3 29 WNU22 0.763 1.03E−02 6 26 WNU23 0.788 6.81E−03 6 34 WNU23 0.797 5.80E−03 6 11 WNU23 0.760 1.08E−02 6 5 WNU23 0.884 6.88E−04 5 11 WNU23 0.774 8.61E−03 5 36 WNU23 0.772 8.87E−03 5 32 WNU25 0.714 2.04E−02 6 35 WNU25 0.760 1.07E−02 6 11 WNU25 0.747 1.31E−02 6 13 WNU25 0.782 7.49E−03 6 5 WNU25 0.758 1.11E−02 5 35 WNU25 0.799 5.54E−03 5 11 WNU25 0.769 9.35E−03 5 36 WNU25 0.705 2.28E−02 4 35 WNU25 0.833 2.76E−03 4 11 WNU25 0.752 1.22E−02 4 5 WNU27 0.735 1.55E−02 2 3 WNU27 0.764 1.01E−02 3 7 WNU27 0.711 2.11E−02 3 5 WNU27 0.793 6.18E−03 4 16 WNU28 0.908 2.77E−04 2 24 WNU28 0.839 2.40E−03 2 16 WNU28 0.713 2.07E−02 6 28 WNU28 0.807 4.76E−03 3 14 WNU28 0.777 8.16E−03 3 33 WNU28 0.770 9.24E−03 5 14 WNU28 0.767 9.62E−03 5 33 WNU28 0.710 2.13E−02 4 28 WNU28 0.720 1.88E−02 1 35 WNU28 0.879 8.01E−04 1 11 WNU28 0.820 3.66E−03 1 36 WNU28 0.813 4.26E−03 1 15 WNU28 0.783 7.45E−03 1 32 WNU28 0.806 4.86E−03 1 12 WNU30 0.772 8.89E−03 2 34 WNU30 0.820 3.68E−03 3 35 WNU30 0.854 1.64E−03 3 10 WNU30 0.813 4.21E−03 3 36 WNU30 0.876 8.96E−04 5 17 WNU30 0.785 7.19E−03 5 16 WNU30 0.807 4.79E−03 1 1 WNU31 0.767 9.63E−03 2 7 WNU31 0.708 2.19E−02 5 14 WNU31 0.753 1.19E−02 4 11 WNU32 0.755 1.16E−02 5 35 WNU32 0.721 1.87E−02 5 36 WNU32 0.805 4.95E−03 4 26 WNU32 0.776 8.39E−03 1 35 WNU33 0.710 2.15E−02 2 35 WNU33 0.789 6.68E−03 2 13 WNU33 0.705 2.27E−02 3 5 WNU33 0.718 1.92E−02 5 35 WNU33 0.704 2.32E−02 5 36 WNU33 0.756 1.14E−02 4 18 WNU33 0.719 1.92E−02 4 16 WNU33 0.716 1.99E−02 1 30 WNU34 0.724 1.79E−02 3 32 WNU34 0.701 2.38E−02 3 5 WNU34 0.809 4.56E−03 5 35 WNU34 0.772 8.84E−03 5 11 WNU34 0.814 4.18E−03 5 36 WNU34 0.848 1.93E−03 1 11 WNU34 0.740 1.44E−02 1 36 WNU34 0.769 9.33E−03 1 32 WNU34 0.821 3.57E−03 1 12 WNU35 0.727 1.71E−02 6 34 WNU35 0.758 1.11E−02 6 16 WNU35 0.704 2.30E−02 3 28 WNU35 0.789 6.71E−03 3 31 WNU35 0.823 3.47E−03 3 29 WNU35 0.758 1.11E−02 5 25 WNU35 0.720 1.88E−02 4 13 WNU36 0.702 2.37E−02 2 14 WNU36 0.833 2.75E−03 6 24 WNU36 0.781 7.67E−03 6 16 WNU36 0.830 2.94E−03 5 27 WNU36 0.736 1.53E−02 5 17 WNU36 0.825 3.32E−03 5 26 WNU36 0.816 4.00E−03 5 16 WNU37 0.745 1.35E−02 2 34 WNU37 0.764 1.01E−02 6 11 WNU37 0.725 1.76E−02 6 7 WNU37 0.730 1.65E−02 6 24 WNU37 0.768 9.40E−03 6 16 WNU37 0.833 2.75E−03 3 15 WNU37 0.704 2.30E−02 5 33 WNU37 0.813 4.22E−03 1 32 WNU38 0.724 1.79E−02 2 9 WNU38 0.819 3.77E−03 6 20 WNU38 0.889 5.90E−04 6 30 WNU38 0.773 8.75E−03 3 31 WNU38 0.788 6.83E−03 5 35 WNU38 0.762 1.04E−02 5 11 WNU38 0.798 5.65E−03 5 36 WNU38 0.712 2.09E−02 1 28 WNU38 0.723 1.81E−02 1 29 WNU38 0.853 1.69E−03 1 21 WNU39 0.776 8.37E−03 6 26 WNU39 0.760 1.07E−02 6 16 WNU39 0.710 2.15E−02 3 10 WNU39 0.742 1.39E−02 3 36 WNU39 0.796 5.92E−03 5 35 WNU39 0.836 2.58E−03 5 11 WNU39 0.874 9.40E−04 5 36 WNU39 0.881 7.61E−04 1 11 WNU39 0.815 4.06E−03 1 36 WNU39 0.845 2.08E−03 1 32 WNU39 0.842 2.24E−03 1 12 WNU39 0.787 6.93E−03 1 4 WNU39 0.774 8.63E−03 1 3 WNU40 0.701 2.39E−02 2 34 WNU40 0.708 2.19E−02 2 11 WNU40 0.776 8.37E−03 2 5 WNU40 0.839 2.40E−03 6 26 WNU40 0.706 2.25E−02 5 35 WNU40 0.752 1.21E−02 5 36 WNU41 0.843 2.20E−03 3 35 WNU41 0.794 6.11E−03 3 36 WNU41 0.858 1.50E−03 3 18 WNU41 0.720 1.89E−02 5 30 WNU41 0.787 6.86E−03 5 33 WNU41 0.750 1.25E−02 5 9 WNU41 0.711 2.11E−02 5 23 WNU41 0.753 1.20E−02 1 2 WNU41 0.781 7.64E−03 1 1 WNU42 0.741 1.42E−02 6 26 WNU43 0.755 1.16E−02 2 20 WNU43 0.752 1.22E−02 2 9 WNU43 0.814 4.15E−03 2 22 WNU43 0.707 2.22E−02 1 15 WNU43 0.854 1.64E−03 1 33 WNU44 0.764 1.01E−02 3 35 WNU44 0.755 1.16E−02 3 11 WNU44 0.780 7.78E−03 3 36 WNU44 0.826 3.26E−03 5 2 WNU8 0.792 6.33E−03 2 28 WNU8 0.768 9.45E−03 6 11 WNU8 0.708 2.19E−02 6 1 WNU8 0.931 9.22E−05 3 15 WNU8 0.759 1.09E−02 5 11 WNU8 0.705 2.28E−02 5 36 WNU8 0.843 2.20E−03 4 7 WNU8 0.887 6.31E−04 4 18 WNU8 0.775 8.51E−03 4 5 WNU8 0.787 6.88E−03 1 27 WNU8 0.914 2.16E−04 1 15 WNU8 0.788 6.77E−03 1 26 WNU9 0.791 6.38E−03 2 7 WNU9 0.709 2.18E−02 2 13 WNU9 0.750 1.25E−02 2 5 WNU9 0.758 1.11E−02 6 34 WNU9 0.766 9.84E−03 6 11 WNU9 0.866 1.19E−03 6 5 WNU9 0.750 1.24E−02 3 5 WNU9 0.773 8.67E−03 5 11 WNU9 0.706 2.25E−02 5 36 WNU9 0.820 3.68E−03 4 35 WNU9 0.720 1.88E−02 4 11 Table 22. “Corr. ID”—correlation set ID according to the correlated parameters Table above. “Exp. Set”—Expression set. “R” = Pearson correlation coefficient; “P” = p value.

Example 7 Production of Sorghum Transcriptome and High Throughput Correlation Analysis with Yield, NUE, and ABST Related Parameters Measured in Fields Using 44K Sorguhm Oligonucleotide Micro-Arrays

In order to produce a high throughput correlation analysis between plant phenotype and gene expression level, the present inventors utilized a sorghum oligonucleotide micro-array, produced by Agilent Technologies [chem. (dot) agilent (dot) com/Scripts/PDS (dot) asp?lPage=50879]. The array oligonucleotide represents about 44,000 sorghum genes and transcripts. In order to define correlations between the levels of RNA expression with ABST, yield and NUE components or vigor related parameters, various plant characteristics of 17 different sorghum hybrids were analyzed. Among them, 10 hybrids encompassing the observed variance were selected for RNA expression analysis. The correlation between the RNA levels and the characterized parameters was analyzed using Pearson correlation test [davidmlane (dot) com/hyperstat/A34739 (dot) html].

Correlation of Sorghum Varieties Across Ecotypes Grown Under Regular Growth Conditions, Severe Drought Conditions and Low Nitrogen Conditions

Experimental Procedures

17 Sorghum varieties were grown in 3 repetitive plots, in field. Briefly, the growing protocol was as follows:

1. Regular growth conditions: sorghum plants were grown in the field using commercial fertilization and irrigation protocols (370 liter per meter², fertilization of 14 units of 21% urea per entire growth period).

2. Drought conditions: sorghum seeds were sown in soil and grown under normal condition until around 35 days from sowing, around stage V8 (eight green leaves are fully expanded, booting not started yet). At this point, irrigation was stopped, and severe drought stress was developed.

3. Low Nitrogen fertilization conditions: sorghum plants were fertilized with 50% less amount of nitrogen in the field than the amount of nitrogen applied in the regular growth treatment. All the fertilizer was applied before flowering.

Analyzed Sorghum tissues—All 10 selected Sorghum hybrids were sampled per each treatment. Tissues [Flag leaf, Flower meristem and Flower] from plants growing under normal conditions, severe drought stress and low nitrogen conditions were sampled and RNA was extracted as described above. Each micro-array expression information tissue type has received a Set ID as summarized in Table 23 below.

TABLE 23 Sorghum transcriptome expression sets in field experiments Expression Set Set ID Flag Leaf Drought 1 Flag Leaf low nitrogen 2 Flag Leaf Normal 3 Flower Meristem Drought 4 Flower Meristem low nitrogen 5 Flower Meristem Normal 6 Flower Drought 7 Flower low nitrogen 8 Flower Normal 9 Table 23: Provided are the sorghum transcriptome expression sets. Flag leaf = the leaf below the flower; Flower meristem = Apical meristem following panicle initiation; Flower = the flower at the anthesis day.

The following parameters were collected using digital imaging system:

Average Grain Area (cm²)—At the end of the growing period the grains were separated from the Plant ‘Head’. A sample of ˜200 grains were weighted, photographed and images were processed using the below described image processing system. The grain area was measured from those images and was divided by the number of grains.

Average Grain Length (cm)—At the end of the growing period the grains were separated from the Plant ‘Head’. A sample of -200 grains were weighted, photographed and images were processed using the below described image processing system. The sum of grain lengths (longest axis) was measured from those images and was divided by the number of grains.

Grain size was also measured after dividing the grains into two groups according to their size (lower and upper groups)

Head Average Area (cm²)—At the end of the growing period 5 ‘Heads’ were, photographed and images were processed using the below described image processing system. The ‘Head’ area was measured from those images and was divided by the number of ‘Heads’.

Head Average Length (cm)—At the end of the growing period 5 ‘Heads’ were, photographed and images were processed using the below described image processing system. The ‘Head’ length (longest axis) was measured from those images and was divided by the number of ‘Heads’.

An image processing system was used, which consists of a personal desktop computer (Intel P4 3.0 GHz processor) and a public domain program—ImageJ 1.37, Java based image processing software, which was developed at the U.S. National Institutes of Health and is freely available on the internet at rsbweb (dot) nih (dot) gov/. Images were captured in resolution of 10 Mega Pixels (3888×2592 pixels) and stored in a low compression JPEG (Joint Photographic Experts Group standard) format. Next, image processing output data for seed area and seed length was saved to text files and analyzed using the JMP statistical analysis software (SAS institute).

Additional parameters were collected either by sampling 5 plants per plot or by measuring the parameter across all the plants within the plot.

Total Seed Weight per Head (gr.)—At the end of the experiment (plant ‘Heads’) heads from plots within blocks A-C were collected. 5 heads were separately threshed and grains were weighted, all additional heads were threshed together and weighted as well. The average grain weight per head was calculated by dividing the total grain weight by number of total heads per plot (based on plot). In case of 5 heads, the total grains weight of 5 heads was divided by 5.

FW Head per Plant gram—At the end of the experiment (when heads were harvested) total heads and 5 selected heads per plots within blocks A-C were collected separately. The heads (total and 5) were weighted (gr.) separately, and the average fresh weight per plant was calculated for total (FW Head/Plant gr. based on plot) and for 5 (FW Head/Plant gr. based on 5 plants) heads.

Plant height—Plants were characterized for height during growing period at 5 time points. In each measure, plants were measured for their height using a measuring tape. Height was measured from ground level to top of the longest leaf.

Plant leaf number—Plants were characterized for leaf number during growing period at 5 time points. In each measure, plants were measured for their leaf number by counting all the leaves of 3 selected plants per plot.

Growth Rate—was calculated using Formulas III (above) and VIII (above).

SPAD—Chlorophyll content was determined using a Minolta SPAD 502 chlorophyll meter and measurement was performed 64 days post sowing. SPAD meter readings were done on young fully developed leaf. Three measurements per leaf were taken per plot.

Vegetative dry weight and Heads—At the end of the experiment (when inflorescence were dry) all inflorescence and vegetative material from plots within blocks A-C were collected. The biomass and heads weight of each plot was separated, measured and divided by the number of heads.

Dry weight=total weight of the vegetative portion above ground (excluding roots) after drying at 70° C. in oven for 48 hours;

Harvest Index (HI) (Sorghum)—The harvest index was calculated using Formula XVI described above.

FW Heads/(FW Heads+FW Plants)—The total fresh weight of heads and their respective plant biomass was measured at the harvest day. The heads weight was divided by the sum of weights of heads and plants.

Experimental Results

17 different sorghum hybrids were grown and characterized for different parameters (Table 24). The average for each of the measured parameter was calculated using the JMP software (Table 25) and a subsequent correlation analysis was performed (Table 26). Results were then integrated to the database.

TABLE 24 Sorghum correlated parameters (vectors) Correlated parameter with Correlation ID Average Grain Area (cm²), Drought 1 Average Grain Area (cm²), Low N 2 Average Grain Area (cm²), Normal 3 FW-Head/Plant gr (based on plot), Drought 4 FW-Head/Plant gr (based on plot), Low N 5 FW-Head/Plant gr (based on plot), Normal 6 FW-Head/Plant gr (based on 5 plants), Low N 7 FW-Head/Plant gr (based on 5 plants), Normal 8 FW Heads/(FW Heads + FW Plants)(all plot), Drought 9 FW Heads/(FW Heads + FW Plants)(all plot), Low N 10 FW Heads/(FW Heads + FW Plants)(all plot), Normal 11 FW/Plant gr (based on plot), Drought 12 FW/Plant gr (based on plot), Low N 13 FW/Plant gr (based on plot), Normal 14 Final Plant Height (cm), Drought 15 Final Plant Height (cm), Low N 16 Final Plant Height (cm), Normal 17 Head Average Area (cm²), Drought 18 Head Average Area (cm²), Low N 19 Head Average Area (cm²), Normal 20 Head Average Length (cm), Drought 21 Head Average Length (cm), Low N 22 Head Average Length (cm), Normal 23 Head Average Perimeter (cm), Drought 24 Head Average Perimeter (cm), Low N 25 Head Average Perimeter (cm), Normal 26 Head Average Width (cm), Drought 27 Head Average Width (cm), Low N 28 Head Average Width (cm), Normal 29 Leaf SPAD 64 DPS (Days Post Sowing), Drought 30 Leaf SPAD 64 DPS (Days Post Sowing), Low N 31 Leaf SPAD 64 DPS (Days Post Sowing), Normal 32 Lower Ratio Average Grain Area, Low N 33 Lower Ratio Average Grain Area, Normal 34 Lower Ratio Average Grain Length, Low N 35 Lower Ratio Average Grain Length, Normal 36 Lower Ratio Average Grain Perimeter, Low N 37 Lower Ratio Average Grain Perimeter, Normal 38 Lower Ratio Average Grain Width, Low N 39 Lower Ratio Average Grain Width, Normal 40 Total grain weight/Head (based on plot) gr, Low N 41 Total grain weight/Head gr (based on 5 heads), Low N 42 Total grain weight/Head gr (based on 5 heads), Normal 43 Total grain weight/Head gr (based on plot), Normal 44 Total grain weight/Head gr, (based on plot) Drought 45 Upper Ratio Average Grain Area, Drought 46 Upper Ratio Average Grain Area, Low N 47 Upper Ratio Average Grain Area, Normal 48 [Grain Yield + plant biomass/SPAD 64 DPS], Normal 49 [Grain Yield + plant biomass/SPAD 64 DPS], Low N 50 [Grain yield/SPAD 64 DPS], Low N 51 [Grain yield/SPAD 64 DPS], Normal 52 [Plant biomass (FW)/SPAD 64 DPS], Drought 53 [Plant biomass (FW)/SPAD 64 DPS], Low N 54 [Plant biomass (FW)/SPAD 64 DPS], Normal 55 Table 24. Provided are the Sorghum correlated parameters (vectors). “gr.” = grams; “SPAD” = chlorophyll levels; “FW” = Plant Fresh weight; “DW” = Plant Dry weight; “normal” = standard growth conditions; “DPS” = days post-sowing; “Low N” = Low Nitrogen. FW—Head/Plant gr. (based on 5 plants), fresh weigh of the harvested heads was divided by the number of heads that were phenotyped, Low N—low nitrogen conditions: Lower Ratio Average Grain Area grain area of the lower fraction of grains.

TABLE 25 Measured parameters in Sorghum accessions under normal, low N and drought conditions Corr. Seed ID ID L-1 L-2 L-3 L-4 L-5 L-6 L-7 L-8 L-9 L-10 L-11 L-12 L-13 L-14 L-15 L-16 L-17 3 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 6 175.2 223.5 56.4 111.6 67.3 66.9 126.2 107.7 123.9 102.8 82.3 77.6 91.2 150.4 109.1 107.6 130.9 8 406.5 518.0 148.0 423.0 92.0 101.3 423.5 386.5 409.5 329.0 391.0 435.8 429.5 441.0 415.8 429.5 428.5 11 0.5 0.5 0.1 0.3 0.1 0.2 0.5 0.4 0.4 0.4 0.5 0.4 0.4 0.5 0.5 0.4 0.4 14 162.6 212.6 334.8 313.5 462.3 318.3 151.1 137.6 168.0 129.0 97.6 99.3 112.2 157.4 130.5 135.7 209.2 17 95.3 79.2 197.9 234.2 189.4 194.7 117.3 92.8 112.7 97.5 98.0 100.0 105.6 151.2 117.1 124.5 126.5 20 120.1 167.6 85.1 157.3 104.0 102.5 168.5 109.3 135.1 169.0 156.1 112.1 154.7 171.7 168.5 162.5 170.5 23 25.6 26.8 21.0 26.8 23.1 21.8 31.3 23.2 25.7 28.8 28.1 23.0 28.1 30.0 30.5 27.2 29.3 26 61.2 67.9 56.3 65.4 67.5 67.5 74.4 56.2 61.6 71.4 68.6 56.4 67.8 71.5 78.9 67.0 74.1 29 6.0 7.9 4.9 7.4 5.6 5.9 6.8 6.0 6.6 7.4 7.0 6.2 7.0 7.2 7.0 7.4 7.4 32 43.0 . 43.3 44.7 45.8 41.6 45.2 45.1 43.0 45.6 44.8 45.3 46.5 44.0 45.1 45.1 43.1 34 0.8 0.7 0.8 0.8 0.7 0.7 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8 36 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 38 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 40 0.9 0.8 0.8 0.9 0.8 0.8 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 43 47.4 46.3 28.4 70.4 32.2 49.2 63.5 44.5 56.7 60.0 45.5 58.2 70.6 70.1 54.0 59.9 52.7 44 31.1 26.4 18.7 38.4 26.7 28.8 47.7 31.0 40.0 38.4 32.1 32.7 32.8 51.5 35.7 38.3 42.4 48 1.2 1.3 1.1 1.1 1.2 1.1 1.2 1.2 1.2 1.2 1.3 1.2 1.2 1.2 1.2 1.3 1.2 49 4.5 8.2 7.9 10.7 8.3 4.4 3.7 4.8 3.7 2.9 2.9 3.1 4.8 3.7 3.9 5.8 52 3.8 7.7 7.0 10.1 7.6 3.3 3.0 3.9 2.8 2.2 2.2 2.4 3.6 2.9 3.0 4.9 55 0.7 0.4 0.9 0.6 0.7 1.1 0.7 0.9 0.8 0.7 0.7 0.7 1.2 0.8 0.8 1.0 2 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 5 214.8 205.0 73.5 123.0 153.1 93.2 134.1 77.4 129.6 99.8 76.9 84.2 92.2 138.8 113.3 95.5 129.5 7 388.0 428.7 297.7 280.0 208.3 303.7 436.0 376.3 474.7 437.7 383.0 375.0 425.0 434.0 408.7 378.5 432.0 10 0.5 0.5 0.2 0.4 0.2 0.2 0.5 0.4 0.4 0.4 0.4 0.4 0.4 0.4 0.4 0.4 0.4 13 204.8 199.6 340.5 240.6 537.8 359.4 149.2 129.1 178.7 124.3 101.3 132.1 117.9 177.0 143.7 127.0 180.4 16 104.0 80.9 204.7 125.4 225.4 208.1 121.4 100.3 121.1 94.5 110.0 115.1 104.7 173.7 115.6 138.8 144.4 19 96.2 214.7 98.6 182.8 119.6 110.2 172.4 84.8 156.3 136.7 137.7 96.5 158.2 163.9 138.4 135.5 165.6 22 23.2 25.6 20.9 28.4 24.3 22.6 32.1 20.4 26.7 26.3 25.4 23.1 27.9 28.9 27.6 25.5 30.3 25 56.3 79.2 53.3 76.2 67.3 59.5 79.3 51.5 69.9 66.2 67.4 57.9 70.6 73.8 66.9 65.4 76.0 28 5.3 10.4 5.9 8.3 6.2 6.1 6.8 5.3 7.5 6.6 6.9 5.3 7.2 7.2 6.3 6.6 6.8 31 38.3 39.0 42.3 40.9 43.2 39.9 42.7 43.3 39.0 42.7 40.1 44.0 45.4 44.8 42.6 43.8 46.7 33 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.7 0.8 0.8 0.8 0.8 0.8 0.8 35 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 37 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 39 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.8 0.9 0.9 0.9 0.9 0.9 0.9 41 25.9 30.6 19.4 35.6 25.2 22.2 50.0 27.5 51.1 36.8 29.4 26.7 29.4 51.1 37.0 39.9 41.8 42 50.3 50.9 36.1 73.1 37.9 36.4 71.7 35.0 76.7 57.6 42.9 36.5 68.6 71.8 49.3 43.9 52.1 47 1.2 1.3 1.1 1.2 1.2 1.2 1.2 1.2 1.2 1.2 1.2 1.2 1.2 1.2 1.3 1.2 1.2 50 6.0 5.9 8.5 6.8 13.1 9.6 4.7 3.6 5.9 3.8 3.3 3.6 3.2 5.1 4.2 3.8 4.8 51 0.7 0.8 0.5 0.9 0.6 0.6 1.2 0.6 1.3 0.9 0.7 0.6 0.6 1.1 0.9 0.9 0.9 54 5.3 5.1 8.0 5.9 12.5 9.0 3.5 3.0 4.6 2.9 2.5 3.0 2.6 4.0 3.4 2.9 3.9 1 0.1 0.1 0.1 0.1 0.1 0.1 4 154.9 122.0 130.5 241.1 69.0 186.4 62.1 39.0 58.9 76.4 33.5 42.2 41.5 131.7 60.8 44.3 185.4 9 0.4 0.5 0.4 0.4 0.2 0.3 0.4 0.4 0.4 0.4 0.5 0.5 0.5 0.4 0.3 0.2 0.3 12 208.0 138.0 255.4 402.2 233.5 391.7 89.3 50.6 87.0 120.4 37.2 48.2 44.2 231.6 116.0 123.1 342.5 15 89.4 75.7 92.1 94.3 150.8 110.7 99.2 84.0 99.0 92.2 81.9 98.8 86.5 99.6 83.0 83.5 92.3 18 83.1 107.8 88.7 135.9 90.8 124.0 86.1 85.2 113.1 100.8 80.4 126.9 86.4 92.3 77.9 76.9 21 21.6 21.9 21.6 22.0 21.0 28.6 21.3 20.8 24.7 24.3 21.9 25.0 19.5 20.4 16.8 18.9 24 52.8 64.5 56.6 64.4 53.2 71.7 55.6 53.0 69.8 65.1 55.3 69.1 53.3 56.3 49.1 51.9 27 4.8 6.3 5.2 7.8 5.3 5.5 5.0 5.1 5.8 5.4 4.7 6.3 5.6 5.8 5.9 5.1 30 40.6 40.9 45.0 42.3 45.2 40.6 44.8 45.1 40.7 45.4 42.6 44.2 44.6 42.4 43.3 40.3 40.8 45 22.1 16.8 9.2 104.4 3.2 22.0 10.0 18.6 29.3 10.5 14.8 12.9 18.2 11.6 18.6 16.4 46 1.3 1.2 1.3 1.5 1.2 1.2 53 5.1 3.4 5.7 9.5 5.2 9.7 2.0 1.1 2.1 2.7 0.9 1.1 1.0 5.5 2.7 3.1 8.4 Table 25: Provided are the valus of each of the parameters (as described above) measured in Sorghum accessions (Seed ID) under normal, low N and drought conditions. Growth conditions are specified in the experimental procedure section.

TABLE 26 Correlation between the expression level of selected genes of some embodiments of the invention in various tissues and the phenotypic performance under normal or low nitrogen fertilization conditions across sorghum accessions Gene Exp. Cor. Gene Exp. Cor. Name R P value set Set ID Name R P value set Set ID LAB101 0.895 4.69E−04 6 32 LAB101 0.862 1.33E−03 6 38 LAB101 0.821 3.56E−03 9 32 LAB101 0.745 1.34E−02 9 40 LAB101 0.928 1.07E−04 9 38 LAB101 0.725 1.77E−02 9 36 LAB101 0.748 1.28E−02 9 34 LAB101 0.704 2.31E−02 2 31 LAB101 0.720 1.89E−02 3 17 LAB572 0.771 9.01E−03 6 48 LAB572 0.762 1.04E−02 6 3 LAB572 0.914 2.15E−04 2 41 LAB572 0.782 7.57E−03 2 22 LAB572 0.701 2.38E−02 2 42 LAB572 0.850 1.86E−03 2 51 LAB572 0.882 7.34E−04 2 16 LAB572 0.845 2.08E−03 8 2 LAB572 0.735 1.55E−02 3 44 WNU100 0.813 4.24E−03 9 17 WNU100 0.904 3.34E−04 2 16 WNU100 0.723 1.83E−02 8 16 WNU101 0.730 1.66E−02 6 48 WNU101 0.789 6.65E−03 2 47 WNU101 0.715 2.00E−02 2 28 WNU101 0.784 7.31E−03 3 48 WNU105 0.819 3.78E−03 6 52 WNU105 0.797 5.76E−03 6 49 WNU105 0.762 1.04E−02 2 51 WNU105 0.825 3.28E−03 5 2 WNU3 0.708 2.20E−02 2 7 WNU3 0.862 1.33E−03 2 41 WNU3 0.827 3.15E−03 2 22 WNU3 0.790 6.52E−03 2 42 WNU3 0.788 6.73E−03 2 51 WNU3 0.804 5.08E−03 2 16 WNU3 0.749 1.27E−02 5 2 WNU3 0.916 5.19E−04 3 52 WNU3 0.703 2.32E−02 3 6 WNU3 0.915 5.37E−04 3 49 WNU3 0.712 2.09E−02 1 4 WNU90 0.788 6.81E−03 2 47 WNU90 0.726 1.75E−02 2 28 WNU91 0.749 1.26E−02 6 44 WNU91 0.886 6.38E−04 4 53 WNU91 0.753 1.20E−02 4 4 WNU91 0.887 6.30E−04 4 12 WNU91 0.738 1.48E−02 5 5 WNU91 0.718 1.95E−02 5 54 WNU91 0.777 8.20E−03 5 50 WNU91 0.804 5.10E−03 5 13 WNU92 0.823 3.44E−03 6 14 WNU93 0.722 1.85E−02 6 17 WNU93 0.771 9.09E−03 6 40 WNU93 0.834 2.68E−03 6 44 WNU93 0.726 1.75E−02 6 36 WNU93 0.813 4.23E−03 6 34 WNU93 0.721 1.87E−02 2 33 WNU93 0.729 1.68E−02 2 39 WNU93 0.806 4.84E−03 2 37 WNU93 0.741 1.41E−02 2 16 WNU93 0.789 6.65E−03 8 33 WNU93 0.717 1.97E−02 8 41 WNU93 0.713 2.05E−02 8 39 WNU93 0.829 3.04E−03 8 35 WNU93 0.817 3.91E−03 8 42 WNU93 0.737 1.49E−02 8 51 WNU93 0.898 4.12E−04 8 37 WNU93 0.751 1.22E−02 5 33 WNU93 0.713 2.06E−02 5 39 WNU93 0.747 1.31E−02 5 35 WNU93 0.786 7.02E−03 5 42 WNU93 0.876 9.01E−04 1 15 WNU94 0.742 1.40E−02 6 11 WNU94 0.759 1.08E−02 6 44 WNU94 0.785 7.11E−03 4 15 WNU94 0.736 1.53E−02 5 16 WNU96 0.717 1.97E−02 6 44 WNU97 0.749 1.26E−02 6 17 WNU97 0.736 2.36E−02 9 52 WNU97 0.773 1.46E−02 9 49 WNU97 0.961 9.57E−06 4 53 WNU97 0.878 8.35E−04 4 4 WNU97 0.965 6.14E−06 4 12 WNU97 0.700 2.42E−02 5 50 WNU97 0.780 7.85E−03 5 13 WNU98 0.843 2.17E−03 6 17 WNU98 0.818 3.85E−03 6 44 WNU98 0.877 8.62E−04 4 53 WNU98 0.847 1.98E−03 4 4 WNU98 0.888 6.09E−04 4 12 WNU99 0.826 3.22E−03 6 17 WNU99 0.778 8.05E−03 6 44 WNU99 0.823 3.45E−03 4 53 WNU99 0.741 1.42E−02 4 4 WNU99 0.838 2.48E−03 4 12 Table 26. “Corr. ID”—correlation set ID according to the correlated parameters Table above. “Exp. Set”—Expression set. “R” = Pearson correlation coefficient; “P” = p value.

Example 8 Production of Sorghum Transcriptome and High Throughput Correlation Analysis with Biomass, NUE, and ABST Related Parameters Measured in Semi-Hydroponics Conditions Using 44K Sorguhm Oligonucleotide Micro-Arrays

Sorghum vigor related parameters under low nitrogen, 100 mM NaCl, low temperature (10±2° C.) and normal growth conditions—Ten Sorghum hybrids were grown in 3 repetitive plots, each containing 17 plants, at a net house under semi-hydroponics conditions. Briefly, the growing protocol was as follows: Sorghum seeds were sown in trays filled with a mix of vermiculite and peat in a 1:1 ratio. Following germination, the trays were transferred to the high salinity solution (100 mM NaCl in addition to the Full Hoagland solution), low temperature (10±2° C. in the presence of Full Hoagland solution), low nitrogen solution (the amount of total nitrogen was reduced in 90% from the full Hoagland solution (i.e., to a final concentration of 10% from full Hoagland solution, final amount of 1.2 mM N) or at Normal growth solution (Full Hoagland containing 16 mM N solution, at 28±2° C.). Plants were grown at 28±2° C.

Full Hoagland solution consists of: KNO₃—0.808 grams/liter, MgSO₄—0.12 grams/liter, KH₂PO₄—0.172 grams/liter and 0.01% (volume/volume) of ‘Super coratin’ micro elements (Iron-EDDHA [ethylenediamine-N,N′-bis(2-hydroxyphenylacetic acid)]—40.5 grams/liter; Mn—20.2 grams/liter; Zn 10.1 grams/liter; Co 1.5 grams/liter; and Mo 1.1 grams/liter), solution's pH should be 6.5-6.8].

Analyzed Sorghum tissues—All 10 selected Sorghum hybrids were sampled per each treatment. Three tissues [leaves, meristems and roots] growing at 100 mM NaCl, low temperature (10±2° C.), low Nitrogen (1.2 mM N) or under Normal conditions were sampled and RNA was extracted as described above. Each micro-array expression information tissue type has received a Set ID as summarized in Table 27 below.

TABLE 27 Sorghum transcriptome expression sets under semi hydroponics conditions Expression Set Set ID Sorghum roots under cold 1 Sorghum roots under Normal Growth 2 Sorghum roots under Low Nitrogen 3 Sorghum roots under 100 mM NaCl 4 Sorghum meristems under cold 5 Sorghum meristems under Low Nitrogen 6 Sorghum meristems under 100 mM NaCl 7 Sorghum meristems under Normal Growth 8 Table 27: Provided are the Sorghum transcriptome expression sets. Cold conditions = 10 ± 2° C.; NaCl = 100 mM NaCl; low nitrogen = 1.2 mM Nitrogen; Normal conditions = 16 mM Nitrogen.

Experimental Results

10 different Sorghum hybrids were grown and characterized for the following parameters: “Leaf No”=leaf number per plant (average of five plants); “Plant Height”=plant height [cm] (average of five plants); “DW Root/Plant”—root dry weight per plant (average of five plants); DW Shoot/Plant—shoot dry weight per plant (average of five plants) (Table 28). The average for each of the measured parameter was calculated using the JMP software and values are summarized in Table 29 below. Subsequent correlation analysis was performed (Table 30). Results were then integrated to the database.

TABLE 28 Sorghum correlated parameters (vectors) Correlated parameter with Correlation ID DW Root/Plant-100 mM NaCl [gr] 1 DW Root/Plant-Cold [gr] 2 DW Root/Plant-Low Nitrogen [gr] 3 DW Root/Plant-Normal [gr] 4 DW Shoot/Plant-Low Nitrogen [gr] 5 DW Shoot/Plant-100 mM NaCl [gr] 6 DW Shoot/Plant-Cold [gr] 7 DW Shoot/Plant-Normal [gr] 8 Leaf TP1-100 mM NaCl 9 Leaf TP1-Cold 10 Leaf TP1-Low Nitrogen 11 Leaf TP1-Normal 12 Leaf TP2-100 mM NaCl 13 Leaf TP2-Cold 14 Leaf TP2-Low Nitrogen 15 Leaf TP2-Normal 16 Leaf TP3-100 mM NaCl 17 Leaf TP3-Cold 18 Leaf TP3-Low Nitrogen 19 Leaf TP3-Normal 20 Low N-NUE total biomass 21 Low N-Shoot/Root 22 Low N-NUE roots 23 Low N-NUE shoots 24 Low N-percent-root biomass compared to normal 25 Low N-percent-shoot biomass compared to normal 26 Low N-percent-total biomass reduction compared 27 to normal N level/Leaf [Low Nitrogen] 28 N level/Leaf [100 mM NaCl] 29 N level/Leaf [Cold] 30 N level/Leaf [Normal] 31 Normal-Shoot/Root 32 Normal-NUE roots 33 Normal-NUE shoots 34 Normal-NUE total biomass 35 Plant Height TP1-100 mM NaCl [cm²] 36 Plant Height TP1-Cold[cm²] 37 Plant Height TP1-Low Nitrogen[cm²] 38 Plant Height TP1-Normal[cm²] 39 Plant Height TP2-Cold[cm²] 40 Plant Height TP2-Low Nitrogen [cm²] 41 Plant Height TP2-Normal[cm²] 42 Plant Height TP2-100 mM NaCl[cm²] 43 Plant Height TP3-100 mM NaCl[cm²] 44 Plant Height TP3-Low Nitrogen [cm²] 45 GR Leaf Num Normal [number/days] 46 Root Biomass [DW-gr.]/SPAD [100 mM NaCl] 47 Root Biomass [DW-gr.]/SPAD [Cold] 48 Root Biomass [DW-gr.]/SPAD [Low Nitrogen] 49 Root Biomass [DW-gr.]/SPAD [Normal] 50 SPAD-Cold 51 SPAD-Low Nitrogen 52 SPAD-Normal 53 SPAD 100-mM NaCl 54 Shoot Biomass [DW-gr.]/SPAD [100 mM NaCl] 55 Shoot Biomass [DW-gr.]/SPAD [Cold] 56 Shoot Biomass [DW-gr.]/SPAD [Low Nitrogen] 57 Shoot Biomass [DW-gr.]/SPAD [Normal] 58 Total Biomass-Root + Shoot [DW-gr.]/SPAD 59 [100 mM NaCl] Total Biomass-Root + Shoot [DW-gr.]/SPAD [Cold] 60 Total Biomass-Root + Shoot [DW-gr.]/SPAD [Low 61 Nitrogen] Total Biomass-Root + Shoot[DW-gr.]/SPAD 62 [Normal] Table 28: Provided are the Sorghum correlated parameters. Cold conditions = 10 ± 2° C.; NaCl = 100 mM NaCl; low nitrogen = 1.2 mM Nitrogen; Normal conditions = 16 mM Nitrogen * TP1-2-3 refers to time points 1, 2 and 3. The time period between TP1 and TP2 is 8 days and between TP2 and TP3 is 7 days (between TP1 and TP3 is 15 days).

TABLE 29 Sorghum accessions, measured parameters under different conditions (as described above) Corr. Seed ID ID L-1 L-2 L-3 L-4 L-5 L-6 L-7 L-8 L-9 L-10 4 0.053 0.134 0.173 0.103 0.107 0.120 0.139 0.124 0.099 0.115 8 0.101 0.236 0.313 0.158 0.194 0.188 0.241 0.244 0.185 0.242 12 3.000 3.067 3.800 3.200 3.233 3.233 3.133 3.433 3.000 3.000 16 4.167 4.500 4.800 4.600 4.533 4.967 4.600 4.933 4.500 4.567 20 5.333 5.867 6.200 5.800 5.800 5.733 5.733 6.000 5.600 6.067 39 7.467 9.300 12.867 8.567 8.933 8.533 10.667 10.267 7.867 8.767 42 14.967 18.233 22.100 17.600 18.067 18.533 22.833 22.033 20.033 21.800 46 0.155 0.186 0.159 0.173 0.171 0.168 0.174 0.171 0.174 0.204 53 26.700 29.333 29.856 29.089 24.978 24.622 30.789 25.500 32.889 33.544 3 0.044 0.108 0.202 0.104 0.078 0.086 0.130 0.094 0.086 0.092 5 0.082 0.187 0.328 0.163 0.163 0.156 0.259 0.199 0.130 0.184 11 3.000 3.133 3.867 3.533 3.200 3.133 3.133 3.300 3.067 3.067 15 4.000 4.580 4.967 4.733 4.600 4.700 4.967 4.867 4.667 4.567 19 3.900 4.267 4.700 4.233 4.300 4.567 4.633 4.667 3.967 4.100 38 6.733 9.767 12.700 8.667 9.767 9.233 10.267 10.100 7.933 8.233 41 13.300 20.633 23.700 18.033 19.333 19.200 21.867 22.133 18.200 21.000 45 22.233 31.067 34.667 30.033 30.833 29.867 30.867 32.400 29.367 30.700 52 26.878 28.022 29.644 31.522 29.611 26.822 28.478 28.213 30.478 27.633 1 0.050 0.104 0.124 0.069 0.076 0.075 0.135 0.095 0.165 0.139 6 0.094 0.186 0.202 0.137 0.130 0.133 0.154 0.189 0.099 0.124 9 3.000 3.133 3.400 3.067 3.333 3.067 3.067 3.267 3.000 3.067 13 4.000 4.367 4.867 4.600 4.500 4.533 4.500 4.767 4.320 4.200 17 4.000 4.133 4.567 4.433 4.067 4.333 4.133 4.500 3.780 4.200 36 7.900 9.500 10.933 7.933 9.700 8.533 8.900 10.367 7.000 7.833 43 14.200 16.267 20.367 13.333 15.900 16.533 15.467 18.933 13.680 15.767 44 21.800 23.167 30.367 22.833 23.700 23.300 22.467 26.833 20.280 23.567 54 32.733 35.144 27.967 30.933 34.533 29.989 32.089 31.856 32.513 34.322 2 0.068 0.108 0.163 0.093 0.084 0.114 0.137 0.127 0.108 0.139 7 0.078 0.154 0.189 0.112 0.130 0.165 0.152 0.150 0.112 0.141 10 3.000 3.000 3.500 3.167 3.400 3.200 3.133 3.067 3.067 3.000 14 3.900 4.133 4.633 4.167 4.267 4.233 4.200 4.300 4.167 4.000 18 4.733 5.333 5.433 5.500 5.333 5.067 4.500 5.400 5.367 5.182 37 6.500 8.767 10.400 6.800 9.033 9.000 7.967 9.167 6.500 7.227 40 11.167 15.867 18.433 12.200 16.033 14.633 14.600 17.267 13.433 13.909 51 28.622 30.311 27.044 32.278 28.278 29.889 32.467 28.633 31.711 29.557 30 6.047 5.683 4.978 5.869 5.302 5.899 7.215 5.302 5.909 5.704 48 0.002 0.004 0.006 0.003 0.003 0.004 0.004 0.004 0.003 0.005 56 0.003 0.005 0.007 0.003 0.005 0.006 0.005 0.005 0.004 0.005 60 0.005 0.009 0.013 0.006 0.008 0.009 0.009 0.010 0.007 0.009 21 27.528 64.124 115.231 58.017 52.219 35.103 84.575 63.728 47.029 59.998 22 1.875 1.707 1.731 1.568 2.096 1.815 2.062 2.097 1.504 1.999 23 9.647 23.538 43.877 22.580 16.886 12.440 28.194 20.528 18.756 20.086 24 17.881 40.586 71.354 35.436 35.333 22.663 56.381 43.200 28.273 39.912 25 84.528 80.954 117.004 100.519 72.538 71.777 93.472 76.051 86.820 80.511 26 81.573 79.164 104.754 103.497 83.707 83.215 107.689 81.386 70.300 75.859 27 82.585 79.812 109.104 102.317 79.737 78.767 102.492 79.588 76.073 77.355 28 6.892 6.568 6.307 7.446 6.886 5.873 6.146 6.046 7.683 6.740 49 0.002 0.004 0.007 0.003 0.003 0.003 0.005 0.003 0.003 0.003 57 0.003 0.007 0.011 0.005 0.005 0.006 0.009 0.007 0.004 0.007 61 0.005 0.011 0.018 0.008 0.008 0.009 0.014 0.010 0.007 0.010 29 8.183 8.503 6.124 6.977 8.492 6.921 7.763 7.079 8.601 8.172 47 0.002 0.003 0.004 0.002 0.002 0.003 0.004 0.003 0.005 0.004 55 0.003 0.005 0.007 0.004 0.004 0.004 0.005 0.006 0.003 0.004 59 0.004 0.008 0.012 0.007 0.006 0.007 0.009 0.009 0.008 0.008 31 5.006 5.000 4.815 5.015 4.307 4.295 5.370 4.250 5.873 5.529 32 1.984 1.936 1.897 1.586 1.813 1.579 1.759 1.988 1.895 2.198 33 0.861 2.193 2.828 1.694 1.755 1.960 2.275 2.036 1.086 1.881 34 1.653 3.866 5.137 2.582 3.183 3.081 3.948 4.003 2.022 3.968 35 2.514 6.059 7.964 4.276 4.939 5.041 6.223 6.038 3.108 5.849 50 0.002 0.005 0.006 0.004 0.004 0.005 0.005 0.005 0.003 0.003 58 0.004 0.008 0.010 0.005 0.008 0.008 0.008 0.010 0.006 0.007 62 0.006 0.013 0.016 0.009 0.012 0.012 0.012 0.014 0.009 0.011 Table 29: Provided are the values of each of the parameters (as described above) measured in Sorghum accessions (Seed ID) under low nitrogen, cold, salinity and normal conditions. Growth conditions are specified in the experimental procedure section.

TABLE 30 Correlation between the expression level of selected genes of some embodiments of the invention in various tissues and the phenotypic performance under different conditions as described above across sorghum accessions Gene Exp. Cor. Gene Exp. Cor. Name R P value set Set ID Name R P value set Set ID LAB101 0.720 6.82E−02 3 26 LAB572 0.749 5.25E−02 3 25 WNU100 0.854 1.45E−02 3 49 WNU100 0.783 3.75E−02 3 3 WNU100 0.741 5.70E−02 3 15 WNU100 0.890 7.31E−03 3 5 WNU100 0.858 1.34E−02 3 45 WNU100 0.835 1.95E−02 3 23 WNU100 0.905 5.03E−03 3 61 WNU100 0.903 5.32E−03 3 24 WNU100 0.899 5.89E−03 3 21 WNU100 0.895 6.44E−03 3 57 WNU100 0.874 1.01E−02 3 41 WNU101 0.864 1.23E−02 3 49 WNU101 0.767 4.41E−02 3 3 WNU101 0.762 4.67E−02 3 5 WNU101 0.846 1.65E−02 3 61 WNU101 0.800 3.06E−02 3 57 WNU101 0.819 6.89E−03 2 50 WNU101 0.833 5.25E−03 2 35 WNU101 0.823 6.41E−03 2 34 WNU101 0.730 2.55E−02 2 8 WNU101 0.815 7.45E−03 2 20 WNU101 0.745 2.13E−02 2 4 WNU101 0.844 4.26E−03 2 58 WNU101 0.847 4.00E−03 2 62 WNU101 0.827 5.97E−03 2 33 WNU101 0.831 5.51E−03 5 7 WNU101 0.712 3.14E−02 5 48 WNU101 0.707 3.31E−02 5 2 WNU101 0.787 1.19E−02 5 56 WNU101 0.773 1.46E−02 5 60 WNU101 0.750 1.98E−02 8 50 WNU101 0.759 1.77E−02 8 35 WNU101 0.756 1.85E−02 8 34 WNU101 0.767 1.58E−02 8 20 WNU101 0.759 1.78E−02 8 58 WNU101 0.763 1.68E−02 8 62 WNU101 0.747 2.06E−02 8 33 WNU101 0.729 1.68E−02 1 7 WNU101 0.704 2.31E−02 1 60 WNU105 0.749 2.02E−02 5 30 WNU3 0.741 5.67E−02 3 15 WNU3 0.729 6.32E−02 3 45 WNU3 0.763 1.68E−02 2 12 WNU3 0.778 1.35E−02 2 39 WNU91 0.703 7.80E−02 3 49 WNU91 0.802 2.99E−02 3 3 WNU91 0.737 5.87E−02 3 15 WNU91 0.833 2.01E−02 3 5 WNU91 0.853 1.46E−02 3 45 WNU91 0.889 7.46E−03 3 23 WNU91 0.710 7.39E−02 3 61 WNU91 0.933 2.18E−03 3 24 WNU91 0.939 1.74E−03 3 21 WNU91 0.779 3.90E−02 3 41 WNU91 0.763 1.69E−02 7 54 WNU91 0.769 1.55E−02 8 31 WNU91 0.813 7.69E−03 8 53 WNU93 0.729 6.28E−02 3 25 WNU94 0.879 9.08E−03 3 52 WNU94 0.862 1.27E−02 3 28 WNU94 0.886 1.49E−03 7 1 WNU94 0.904 8.23E−04 7 59 WNU94 0.902 8.90E−04 7 47 WNU96 0.711 7.33E−02 3 28 WNU96 0.716 3.02E−02 7 47 WNU97 0.930 2.42E−03 3 49 WNU97 0.828 2.14E−02 3 3 WNU97 0.940 1.62E−03 3 5 WNU97 0.838 1.86E−02 3 45 WNU97 0.986 4.67E−05 3 61 WNU97 0.788 3.53E−02 3 38 WNU97 0.702 7.88E−02 3 19 WNU97 0.975 1.94E−04 3 57 WNU97 0.912 4.17E−03 3 41 WNU97 0.704 3.44E−02 6 49 WNU97 0.735 2.41E−02 6 3 WNU97 0.727 2.64E−02 6 15 WNU97 0.743 2.18E−02 6 5 WNU97 0.735 2.40E−02 6 11 WNU97 0.735 2.41E−02 6 23 WNU97 0.708 3.30E−02 6 61 WNU97 0.743 2.18E−02 6 24 WNU97 0.749 2.03E−02 6 21 WNU98 0.777 3.99E−02 3 52 WNU98 0.733 6.09E−02 3 28 WNU98 0.742 2.21E−02 7 47 WNU99 0.706 7.63E−02 3 3 WNU99 0.785 3.66E−02 3 15 WNU99 0.716 7.06E−02 3 45 WNU99 0.756 4.90E−02 3 23 WNU99 0.815 2.56E−02 3 52 WNU99 0.750 1.99E−02 5 7 WNU99 0.742 2.20E−02 5 48 WNU99 0.796 1.03E−02 5 56 WNU99 0.793 1.08E−02 5 60 WNU99 0.732 2.51E−02 5 37 WNU99 0.835 5.09E−03 5 40 WNU99 0.705 3.38E−02 5 14 Table 30 “Corr. ID”—correlation set ID according to the correlated parameters Table above. “Exp. Set”—Expression set. “R” = Pearson correlation coefficient; “P” = p value.

Example 9 Production of Maize Transcriptome and High Throughput Correlation Analysis with Yield and NUE Related Parameters when Grown Under Normal or Reduced Nitrogen Fertilization Using 60K Maize Oligonucleotide Micro-Arrays

In order to produce a high throughput correlation analysis between plant phenotype and gene expression level, the present inventors utilized a maize oligonucleotide micro-array, produced by Agilent Technologies [chem. (dot) agilent (dot) com/Scripts/PDS (dot) asp?lPage=50879]. The array oligonucleotide represents about 44,000 maize genes and transcripts.

Correlation of Maize Hybrids Across Ecotypes Grown Under Low Nitrogen Conditions

Experimental Procedures

12 Maize hybrids were grown in 3 repetitive plots, in field. Maize seeds were planted and plants were grown in the field using commercial fertilization and irrigation protocols (485 metric cubes of water per dunam, 30 units of uran 21% fertilization per entire growth period) and 50% of commercial fertilization for low N treatment. In order to define correlations between the levels of RNA expression with NUE and yield components or vigor related parameters, the 12 different maize hybrids were analyzed. Among them, 11 hybrids encompassing the observed variance were selected for RNA expression analysis. The correlation between the RNA levels and the characterized parameters was analyzed using Pearson correlation test [davidmlane (dot) com/hyperstat/A34739 (dot) html].

Analyzed Maize tissues—All 11 selected maize hybrids were sampled per each treatment (low N and normal conditions), in three time points (TP2=V6-V8 (six to eight collar leaf are visible, rapid growth phase and kernel row determination begins), TP5=R1-R2 (silking-blister), TP6=R3-R4 (milk-dough). Four types of plant tissues [Ear, flag leaf indicated in Tables 31-32 as leaf, grain distal part, and internode] were sampled and RNA was extracted as described above. Each micro-array expression information tissue type has received a Set ID as summarized in Tables 31-32 below.

TABLE 31 Maize transcriptome expression sets under normal conditions Expression Set Set ID Maize field Normal Ear R1-R2 1 Maize field Normal Grain Distal R4-R5 2 Maize field Normal Internode R3-R4 3 Maize field Normal Leaf R1-R2 4 Maize field Normal Ear R3-R4 5 Maize field Normal Internode R1-R2 6 Maize field Normal Internode V6-V8 7 Maize field Normal Leaf V6-V8 8 Table 31: Provided are the maize transcriptome expression sets. Leaf = the leaf below the main ear; Internodes = internodes located above and below the main ear in the plant.

TABLE 32 Maize transcriptome expression sets under low N conditions Expression Set Set ID Maize field Low N Ear TP5 1 Maize field Low N Ear TP6 2 Maize field Low N Internodes TP2 3 Maize field Low N Internodes TP5 4 Maize field Low N Internodes TP6 5 Maize field Low N Leaf TP2 6 Maize field Low N Leaf TP5 7 Maize field Low N Leaf TP6 8 Table 32. The following parameters were collected using digital imaging system:

Grain Area (cm²)—At the end of the growing period the grains were separated from the ear. A sample of ˜200 grains were weighted, photographed and images were processed using the below described image processing system. The grain area was measured from those images and was divided by the number of grains.

Grain Length and Grain width (cm)—At the end of the growing period the grains were separated from the ear. A sample of ˜200 grains were weighted, photographed and images were processed using the below described image processing system. The sum of grain lengths/or width (longest axis) was measured from those images and was divided by the number of grains.

Ear Area (cm²)—At the end of the growing period 5 ears were, photographed and images were processed using the below described image processing system. The Ear area was measured from those images and was divided by the number of Ears.

Ear Length and Ear Width (cm)—At the end of the growing period 5 ears were, photographed and images were processed using the below described image processing system. The Ear length and width (longest axis) was measured from those images and was divided by the number of ears.

The image processing system was used, which consists of a personal desktop computer (Intel P4 3.0 GHz processor) and a public domain program—ImageJ 1.37, Java based image processing software, which was developed at the U.S. National Institutes of Health and is freely available on the internet at rsbweb (dot) nih (dot) gov/. Images were captured in resolution of 10 Mega Pixels (3888×2592 pixels) and stored in a low compression JPEG (Joint Photographic Experts Group standard) format. Next, image processing output data for seed area and seed length was saved to text files and analyzed using the JMP statistical analysis software (SAS institute).

The following parameters were collected were collected either by sampling 6 plants per plot or by measuring the parameter across all the plants within the plot.

Seed yield per plant (Kg.)—At the end of the experiment all ears from plots within blocks A-C were collected. 6 ears were separately threshed and grains were weighted, all additional ears were threshed together and weighted as well. The average grain weight per ear was calculated by dividing the total grain weight by number of total ears per plot (based on plot). In case of 6 ears, the total grains weight of 6 ears was divided by 6.

Ear weight per plot (gr.)—At the end of the experiment (when ears were harvested) total and 6 selected ears per plots within blocks were collected separately. The plants with (total and 6) were weighted (gr.) separately and the average ear per plant was calculated for Ear weight per plot (total of 42 plants per plot).

Plant height and Ear height—Plants were characterized for height at harvesting. In each measure, 6 plants were measured for their height using a measuring tape. Height was measured from ground level to top of the plant below the tassel. Ear height was measured from the ground level to the place were the main ear is located

Leaf number per plant—Plants were characterized for leaf number during growing period at 5 time points. In each measure, plants were measured for their leaf number by counting all the leaves of 3 selected plants per plot.

SPAD—Chlorophyll content was determined using a Minolta SPAD 502 chlorophyll meter and measurement was performed 64 days post sowing. SPAD meter readings were done on young fully developed leaf. Seven measurements per leaf were taken per plot. Data were taken after once per weeks after sowing.

Dry weight per plant—At the end of the experiment (when Inflorescence were dry) all vegetative material from plots within blocks A-C were collected.

Dry weight=total weight of the vegetative portion above ground (excluding roots) after drying at 70° C. in oven for 48 hours;

Ear length of Filled Ear [cm]—it was calculated as the length of the ear with grains out of the total ear.

Ear length and width [cm]—it was calculated as the length and width of the ear in the filled. Measurement was performed in 6 plants per each plot.

Kernel Row Number per Ear—The number of rows in each ear was counted.

Stalk width [cm]—The diameter of the stalk was measured in the internode located below the main ear. Measurement was performed in 6 plants per each plot. Leaf area index [LAI]—total leaf area of all plants in a plot. Measurement was performed using a Leaf area-meter. NUE [kg/kg]—is the ratio between total grain yield per total N applied in soil. NUpE [kg/kg]—is the ratio between total plant biomass per total N applied in soil. Yield/stalk width [kg/cm]—is the ratio between total grain yields and the width of the stalk. Yield/LAI [kg]—is the ratio between total grain yields and total leaf area index.

Experimental Results

11 different maize hybrids were grown and characterized for different parameters. Tables 33-34 describe the Maize correlated parameters. The average for each of the measured parameters (Tables 35-36) was calculated using the JMP software and a subsequent correlation analysis was performed (Tables 37-38). Results were then integrated to the database.

TABLE 33 Maize correlated parameters (vectors) under normal conditions Correlated parameter with Correlation ID Normal-Final Plant DW [kg] 1 Normal-Ear Length [cm] 2 Normal-Ear length of filled area [cm] 3 Normal-Ear width [mm] 4 Normal-Final Leaf Number 5 Normal-Final Main Ear Height [cm] 6 Normal-Final Plant Height [cm] 7 Normal-Leaf No TP5 8 Normal-Leaf No TP2 9 Normal-Leaf No TP3 10 Normal-Leaf No TP4 11 Normal-No of rows per ear 12 Normal-Plant Height TP4 [cm] 13 Normal-Plant Height TP5 [cm] 14 Normal-Plant Height TP1 [cm] 15 Normal-Plant Height TP2 [cm] 16 Normal-Plant Height TP3 [cm] 17 Normal-SPAD TP6 R1-2 18 Normal-SPAD TP3 19 Normal-SPAD TP4 Most of the Plants at flowering 20 Normal-SPAD TP5 21 Normal-SPAD TP1 22 Normal-SPAD TP2 23 Normal-SPAD TP7 R3-R4 24 Normal-SPAD TP8 R3-R4 25 Normal-Stalk width TP7 [cm] 26 Normal-Ear weight per plot (42 plants per 27 plot) [0-RH] [kg] Normal-LAI 28 Normal-NUE yield kg/N applied in soil kg 29 Normal-NUE at early grain filling [R1-R2] 30 yield Kg/N in plant SPAD Normal-NUE at grain filling [R3-R4] yield 31 Kg/N in plant SPAD Normal-NUpE [biomass/N applied] 32 Normal-Seed yield per dunam [kg] 33 Normal-Yield/LAI 34 Normal-Yield/stalk width 35 Normal-seed yield per 1 plant rest of the plot 36 [0-RH in Kg] Table 33. “cm” = centimeters’ “mm” = millimeters; “kg” = kilograms; SPAD at R1-R2 and SPAD R3-R4: Chlorophyll level after early and late stages of grain filling; “NUE” = nitrogen use efficiency; “NUpE” = nitrogen uptake efficiency; “LAI” = leaf area; “N” = nitrogen; Low N = under low Nitrogen conditions; “Normal” = under normal conditions; “dunam” = 1000 m². “TP” = time point.

TABLE 34 Maize correlated parameters (vectors) under low N conditions Correlated parameter with Correlation ID Low N-Ear Length [cm] 1 Low N-Ear length of filled area [cm] 2 Low N-Ear width [mm] 3 Low N-Final Leaf Number 4 Low N-Final Main Ear Height [cm] 5 Low N-Final Plant Height [cm] 6 Low N-Leaf No TP5 7 Low N-Leaf No TP1 8 Low N-Leaf No TP2 9 Low N-Leaf No TP3 10 Low N-Leaf No TP4 11 Low N-No of rows per ear 12 Low N-Plant Height TP4 [cm] 13 Low N-Plant Height TP5 [cm] 14 Low N-Plant Height TP1 [cm] 15 Low N-Plant Height TP2 [cm] 16 Low N-Plant Height TP3 [cm] 17 Low N-SPAD TP6 R1-2 18 Low N-SPAD TP3 19 Low N-SPAD TP4 Most of the Plants at flowering 20 Low N-SPAD TP5 21 Low N-SPAD TP1 22 Low N-SPAD TP2 23 Low N-SPAD TP8 R3-R4 24 Low N-Stalk width TP7 [cm] 25 Low N-Ear weight per plot (42 plants per plot) 26 [0 RH] Low N-Final Plant DW [kg] 27 Low N-LAI 28 Low N-NUE yield kg/N applied in soil kg 29 Low N-NUE at early grain filling [R1-R2] yield 30 Kg/N in plant SPAD Low N-NUE at grain filling [R3-R4] yield Kg/N 31 in plant SPAD Low N-NUpE [biomass/N applied] 32 Low N-Seed yield per dunam [kg] 33 Low N-Yield/LAI 34 Low N-Yield/stalk width 35 Low N-seed yield per 1 plant rest of the plot 36 [0-RH in Kg] Table 34. Provided are the values of each of the parameters (as described above) measured in maize accessions (Seed ID) under low nitrogen fertilization. Growth conditions are specified in the experimental procedure section. “TP” = time point.

TABLE 35 Measured parameters in Maize accessions under normal fertilization Cor. L ID L-1 L-2 L-3 L-4 L-5 L-6 L-7 L-8 L-9 L-10 L-11 1 1.3 1.3 1.3 1.5 1.3 1.6 1.4 1.4 11.4 1.7 0.4 2 19.9 20.2 18.1 19.9 19.5 17.7 17.7 17.3 20.5 17.5 19.9 3 16.2 17.5 17.7 18.4 15.7 14.7 12.9 14.0 18.8 12.3 16.1 4 51.1 46.3 45.9 47.6 51.4 47.4 47.3 46.8 49.3 48.3 41.8 5 11.8 11.1 13.3 11.8 11.9 12.3 12.4 12.2 12.6 11.7 9.3 6 130.3 122.3 127.7 113.0 135.3 94.3 120.9 107.7 112.5 139.7 60.4 7 273.5 260.5 288.0 238.5 286.9 224.8 264.4 251.6 278.4 279.0 163.8 8 12.4 12.8 14.2 13.4 12.8 14.0 13.3 14.3 14.6 12.8 11.6 9 7.3 8.8 9.5 8.9 7.1 10.1 9.2 9.7 9.2 7.4 8.9 10 8.4 10.3 10.8 10.4 7.9 11.8 10.8 11.5 11.3 8.7 10.6 11 9.4 11.1 11.8 11.3 9.0 11.4 11.2 11.8 12.0 9.3 10.8 12 16.1 14.7 15.4 15.9 16.2 15.2 16.0 14.8 15.4 17.7 14.3 13 74.3 33.4 75.8 55.9 72.3 58.1 62.2 58.7 51.6 75.7 64.3 14 100.9 168.5 182.7 159.7 102.3 173.5 156.7 185.2 178.2 121.9 152.8 15 27.0 70.7 70.3 67.5 23.8 63.2 59.4 65.1 58.7 25.1 61.2 16 10.6 24.4 25.1 25.8 8.7 34.2 21.2 24.5 22.4 9.1 24.4 17 19.8 45.3 48.0 45.7 16.9 44.9 38.8 48.6 45.4 17.9 40.9 18 56.9 57.2 59.3 61.6 58.6 61.2 60.2 61.1 62.2 57.5 52.0 19 60.3 55.8 60.3 58.6 60.4 53.7 56.2 55.2 52.8 57.3 57.2 20 54.6 57.2 56.0 58.7 54.8 59.1 58.0 60.4 61.1 53.3 51.4 21 50.6 55.7 53.2 58.0 51.7 58.7 55.9 56.8 59.7 51.1 51.8 22 49.6 48.4 45.7 49.8 48.3 48.2 45.4 47.9 46.2 48.9 42.4 23 50.9 46.7 43.7 50.5 51.0 49.0 46.5 46.7 49.4 50.9 45.9 24 59.9 60.9 56.9 58.7 58.7 63.2 59.8 62.4 61.9 57.2 49.3 25 2.9 2.6 2.7 2.9 2.7 2.6 2.9 2.7 2.8 2.7 2.3 26 5.7 7.8 7.6 7.1 5.1 7.9 7.5 8.0 7.7 5.3 7.1 27 8.9 7.0 7.5 8.0 8.5 5.6 6.1 6.7 8.4 8.2 1.9 29 4.5 3.6 4.0 4.2 4.0 3.1 3.3 3.5 4.6 4.1 1.0 30 23.4 19.1 20.3 20.7 20.5 15.4 16.4 17.2 22.0 21.0 5.7 31 25.0 17.8 20.3 20.0 19.0 13.9 16.2 17.2 21.0 21.5 5.5 32 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.1 0.0 0.0 33 1335.6 1087.1 1202.5 1271.2 1203.0 937.1 985.9 1050.1 1365.3 1226.1 300.9 35 456.7 412.4 443.4 438.7 446.7 357.0 337.5 385.8 481.9 471.6 139.7 36 0.2 0.1 0.2 0.2 0.2 0.1 0.1 0.1 0.2 0.2 0.0 28 3.2 3.9 3.3 4.0 3.9 4.2 4.0 4.3 2.9 4.3 34 426.1 313.0 307.3 362.4 314.1 224.6 266.4 261.7 482.3 Table 35.

TABLE 36 Measured parameters in Maize accessions under low Nitrogen fertilization Cor. L ID L-1 L-2 L-3 L-4 L-5 L-6 L-7 L-8 L-9 L-10 L-11 1 20.6 21.0 20.2 20.1 20.1 18.5 19.1 18.3 20.1 17.8 21.3 2 18.4 18.4 19.8 18.8 16.2 16.0 15.3 15.7 16.8 14.1 19.6 3 46.7 48.2 48.3 49.9 52.9 47.4 49.6 48.6 52.4 42.6 50.0 4 15.0 11.6 13.5 11.6 11.8 11.9 12.6 11.7 12.4 9.3 13.2 5 158.1 136.2 128.4 133.1 137.8 99.6 130.2 114.6 143.9 61.6 114.4 6 305.8 270.9 290.6 252.2 260.2 227.2 271.7 248.6 279.3 171.3 269.8 7 12.7 12.4 14.4 13.1 12.2 14.3 13.6 14.9 11.6 11.7 14.9 8 6.5 7.9 7.7 7.2 5.0 8.6 7.5 8.4 5.2 7.4 7.8 9 8.2 8.3 8.6 8.2 7.6 10.4 8.1 8.6 6.6 8.1 8.8 10 9.7 10.3 10.4 10.4 7.9 11.2 10.1 11.6 7.7 10.4 10.9 11 11.2 11.6 12.1 11.5 8.9 11.8 11.4 12.3 8.9 11.1 12.1 12 14.2 15.2 15.0 15.7 16.0 15.9 15.6 14.5 16.4 14.4 15.7 13 71.5 75.6 59.7 68.3 69.0 48.8 72.7 79.5 65.5 42.6 68.6 14 132.9 193.7 183.8 162.6 96.8 177.6 161.6 191.7 94.5 170.1 184.6 15 34.5 72.9 70.5 65.6 21.2 60.4 58.4 67.5 21.3 64.3 60.4 16 16.2 24.5 23.4 24.1 8.9 22.2 20.7 23.6 8.1 24.0 22.6 17 30.1 49.2 47.3 46.4 19.8 46.2 38.1 52.6 15.6 43.1 44.7 18 60.2 57.9 58.8 59.5 58.5 64.0 56.4 60.0 58.3 53.1 61.7 19 52.4 55.4 56.1 58.7 53.7 53.7 56.7 60.1 54.9 52.8 57.8 20 54.0 56.4 56.8 59.8 53.9 60.2 57.8 60.1 53.5 51.5 59.9 21 53.8 55.0 52.7 56.6 50.4 59.1 56.1 58.4 50.5 51.3 56.4 22 52.6 48.1 43.4 47.0 47.0 49.8 49.0 50.0 49.7 44.3 61.3 23 55.8 46.7 45.4 48.8 48.6 50.9 47.2 47.9 51.2 45.5 49.0 24 59.3 57.6 58.4 59.2 58.2 62.7 61.0 59.9 57.5 49.6 61.9 25 2.8 2.4 2.7 2.8 2.7 2.6 3.0 2.6 2.7 2.3 2.8 26 6.6 8.0 9.6 9.2 7.6 7.2 7.9 29.0 7.8 2.4 9.8 27 1.6 1.4 1.5 2.0 1.5 1.6 1.6 1.3 1.5 0.4 1.5 29 7.2 8.4 10.3 10.0 7.6 7.7 8.0 8.3 7.6 2.6 10.6 30 18.0 21.8 26.3 25.1 19.5 18.0 21.4 20.8 19.7 7.2 25.7 31 18.4 21.9 26.5 25.3 19.7 18.5 19.8 20.9 19.9 7.7 25.9 32 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 33 1083.7 1261.6 1549.2 1497.9 1143.9 1159.3 1207.4 1250.1 1146.0 383.2 1589.9 35 416.5 528.4 583.5 541.0 428.1 444.3 407.2 477.4 445.6 167.9 562.3 36 0.1 0.2 0.2 0.2 0.1 0.1 0.2 0.2 0.1 0.0 0.2 28 2.9 3.2 3.3 2.9 2.8 3.8 3.5 5.0 3.2 34 341.5 408.1 464.8 522.3 439.5 312.6 345.9 287.7 501.2 Table 36: Provided are the values of each of the parameters (as described above) measured in maize accessions (Seed ID) under low nitrogen fertilization. Growth conditions are specified in the experimental procedure section.

TABLE 37 Correlation between the expression level of selected genes of some embodiments of the invention in various tissues and the phenotypic performance under normal fertilization conditions across maize accessions Gene Exp. Corr. Gene Exp. Corr. Name R P value set Set ID Name R P value set Set ID LAB290H0 0.719 1.07E−01 1 28 LAB290_H0 0.711 1.13E−01 5 20 LAB290_H0 0.803 5.43E−02 5 32 LAB290_H0 0.904 1.35E−02 5 8 LAB290_H0 0.752 8.49E−02 5 17 LAB290_H0 0.763 7.74E−02 5 14 LAB290_H0 0.803 5.43E−02 5 1 LAB290_H0 0.712 1.13E−01 5 18 LAB290_H0 0.767 7.51E−02 5 11 LAB290_H0 0.815 2.56E−02 4 16 LAB290_H0 0.747 3.33E−02 3 22 LAB290_H0 0.838 1.86E−02 6 20 LAB290_H0 0.766 4.48E−02 6 22 LAB290_H0 0.847 1.62E−02 6 21 LAB290_H0 0.854 1.44E−02 6 24 LAB290_H0 0.712 7.27E−02 6 8 LAB290_H0 0.759 4.79E−02 6 16 LAB290_H0 0.770 4.27E−02 6 4 LAB290_H0 0.715 7.10E−02 6 10 LAB290_H0 0.734 6.06E−02 6 9 LAB290_H0 0.875 9.83E−03 6 18 LYM213 0.796 5.83E−02 5 5 LYM213 0.750 8.56E−02 5 17 LYM213 0.742 9.11E−02 5 14 LYM213 0.782 6.62E−02 5 15 LYM213 0.735 3.78E−02 2 20 LYM213 0.719 4.43E−02 2 8 LYM213 0.785 2.09E−02 2 18 LYM213 0.717 1.97E−02 8 3 WNU104 0.912 4.19E−03 1 26 WNU104 0.823 2.30E−02 1 14 WNU104 0.758 4.81E−02 1 9 WNU104 0.943 4.71E−03 5 28 WNU104 0.778 6.87E−02 5 24 WNU104 0.715 1.10E−01 5 9 WNU104 0.735 3.79E−02 2 4 WNU104 0.702 7.87E−02 4 24 WNU104 0.964 4.62E−04 4 26 WNU104 0.857 1.37E−02 4 14 WNU104 0.802 1.67E−02 3 25 WNU104 0.838 1.85E−02 6 26 WNU104 0.840 1.79E−02 6 14 WNU104 0.746 2.11E−02 7 3 WNU75 0.827 2.18E−02 1 3 WNU75 0.730 9.93E−02 1 34 WNU75 0.762 2.81E−02 2 5 WNU75 0.834 2.70E−03 8 25 WNU75 0.707 2.22E−02 8 4 WNU75 0.891 5.34E−04 8 12 WNU75 0.801 3.03E−02 4 25 WNU75 0.788 3.53E−02 4 3 WNU75 0.784 3.69E−02 4 33 WNU75 0.751 5.17E−02 4 35 WNU75 0.784 3.70E−02 4 27 WNU75 0.788 3.53E−02 4 30 WNU75 0.784 3.69E−02 4 29 WNU75 0.774 4.12E−02 4 31 WNU75 0.738 5.83E−02 4 6 WNU75 0.869 1.11E−02 4 12 WNU75 0.784 3.69E−02 4 36 WNU75 0.855 1.42E−02 6 22 WNU75 0.721 6.77E−02 6 25 WNU75 0.768 4.37E−02 6 12 WNU76 0.897 6.14E−03 1 7 WNU76 0.827 2.18E−02 1 20 WNU76 0.745 5.49E−02 1 22 WNU76 0.818 2.47E−02 1 25 WNU76 0.824 2.27E−02 1 21 WNU76 0.763 4.60E−02 1 24 WNU76 0.800 3.07E−02 1 33 WNU76 0.785 3.65E−02 1 35 WNU76 0.805 2.88E−02 1 27 WNU76 0.800 3.07E−02 1 30 WNU76 0.800 3.07E−02 1 29 WNU76 0.862 1.26E−02 1 4 WNU76 0.837 1.88E−02 1 31 WNU76 0.861 1.28E−02 1 6 WNU76 0.800 3.07E−02 1 36 WNU76 0.713 7.19E−02 1 18 WNU76 0.725 1.03E−01 5 24 WNU76 0.834 3.92E−02 5 23 WNU76 0.755 3.05E−02 2 4 WNU76 0.778 3.95E−02 4 7 WNU76 0.750 5.20E−02 4 20 WNU76 0.779 3.92E−02 4 24 WNU76 0.701 7.90E−02 4 33 WNU76 0.733 6.08E−02 4 26 WNU76 0.731 6.19E−02 4 35 WNU76 0.723 6.62E−02 4 27 WNU76 0.713 7.19E−02 4 30 WNU76 0.701 7.90E−02 4 29 WNU76 0.852 1.49E−02 4 17 WNU76 0.728 6.38E−02 4 31 WNU76 0.761 4.68E−02 4 6 WNU76 0.789 3.47E−02 4 14 WNU76 0.701 7.90E−02 4 36 WNU76 0.915 3.91E−03 6 20 WNU76 0.853 1.46E−02 6 22 WNU76 0.795 3.28E−02 6 25 WNU76 0.916 3.72E−03 6 21 WNU76 0.902 5.42E−03 6 24 WNU76 0.714 7.17E−02 6 3 WNU76 0.753 5.06E−02 6 33 WNU76 0.711 7.34E−02 6 23 WNU76 0.746 5.43E−02 6 35 WNU76 0.750 5.24E−02 6 27 WNU76 0.739 5.75E−02 6 30 WNU76 0.753 5.06E−02 6 29 WNU76 0.900 5.70E−03 6 4 WNU76 0.769 4.31E−02 6 31 WNU76 0.876 9.66E−03 6 12 WNU76 0.753 5.06E−02 6 36 WNU76 0.813 2.62E−02 6 18 WNU76 0.774 1.43E−02 7 25 WNU76 0.751 1.96E−02 7 24 WNU76 0.796 1.03E−02 7 8 WNU76 0.746 2.10E−02 7 5 WNU78 0.753 3.11E−02 2 13 WNU78 0.716 3.02E−02 8 28 WNU78 0.840 1.79E−02 4 15 WNU78 0.833 1.99E−02 6 23 WNU80 0.841 3.57E−02 1 28 WNU80 0.835 1.94E−02 1 22 WNU80 0.900 5.80E−03 1 26 WNU80 0.803 2.96E−02 1 17 WNU80 0.752 5.13E−02 1 10 WNU80 0.784 3.71E−02 1 14 WNU80 0.881 8.88E−03 1 9 WNU80 0.800 5.60E−02 5 28 WNU80 0.835 9.95E−03 2 8 WNU80 0.717 4.51E−02 2 26 WNU80 0.846 8.07E−03 2 5 WNU80 0.755 3.05E−02 2 10 WNU80 0.766 2.68E−02 2 14 WNU80 0.778 2.31E−02 2 9 WNU80 0.727 4.12E−02 2 11 WNU80 0.894 6.56E−03 4 16 WNU80 0.850 1.54E−02 4 10 WNU80 0.861 1.27E−02 4 9 WNU80 0.736 3.74E−02 3 22 WNU80 0.790 6.15E−02 6 28 WNU80 0.765 4.49E−02 6 7 WNU80 0.702 7.89E−02 6 25 WNU80 0.717 7.00E−02 6 33 WNU80 0.867 1.16E−02 6 8 WNU80 0.725 6.54E−02 6 26 WNU80 0.733 6.08E−02 6 35 WNU80 0.869 1.12E−02 6 16 WNU80 0.713 7.22E−02 6 27 WNU80 0.913 4.13E−03 6 5 WNU80 0.705 7.67E−02 6 30 WNU80 0.717 7.00E−02 6 29 WNU80 0.970 3.02E−04 6 17 WNU80 0.742 5.64E−02 6 31 WNU80 0.739 5.78E−02 6 6 WNU80 0.860 1.30E−02 6 14 WNU80 0.717 7.00E−02 6 36 WNU80 0.797 3.19E−02 6 9 WNU80 0.775 4.06E−02 6 18 WNU80 0.783 3.74E−02 6 11 WNU80 0.791 1.94E−02 7 28 WNU81 0.775 4.08E−02 1 16 WNU81 0.734 6.04E−02 1 10 WNU81 0.886 7.94E−03 1 9 WNU81 0.787 6.29E−02 5 12 WNU81 0.866 5.47E−03 2 24 WNU81 0.829 2.11E−02 4 16 WNU82 0.778 3.96E−02 1 13 WNU82 0.906 1.29E−02 5 25 WNU82 0.830 4.08E−02 5 12 WNU82 0.732 3.90E−02 2 23 WNU82 0.809 1.50E−02 2 4 WNU82 0.889 1.77E−02 6 28 WNU83 0.716 1.10E−01 5 5 WNU83 0.729 4.03E−02 2 12 WNU83 0.704 5.11E−02 2 9 WNU83 0.710 4.87E−02 2 11 Table 37. “Corr. ID”—correlation set ID according to the correlated parameters Table above. “Exp. Set”—Expression set. “R” = Pearson correlation coefficient; “P” = p value.

TABLE 38 Correlation between the expression level of WNU selected genes of some embodiments of the invention in various tissues and the phenotypic performance under low nitrogen fertilization conditions across maize accessions Gene Exp. Cor. Gene Exp. Cor. Name R P value set Set ID Name R P value set Set ID LAB290_H0 0.831 5.55E−03 5 23 LAB290_H0 0.741 9.19E−02 6 28 LAB290_H0 0.745 8.94E−02 6 20 LAB290_H0 0.727 1.02E−01 6 19 LAB290_H0 0.702 1.20E−01 6 21 LAB290_H0 0.849 3.23E−02 6 13 LAB290_H0 0.728 1.01E−01 6 26 LAB290_H0 0.773 4.17E−02 7 28 LAB290_H0 0.784 2.13E−02 7 8 LAB290_H0 0.701 5.29E−02 7 17 LAB290_H0 0.816 1.34E−02 7 21 LAB290_H0 0.735 3.78E−02 2 8 LAB290_H0 0.889 7.43E−03 4 16 LAB290_H0 0.720 6.80E−02 4 18 LYM213 0.758 8.05E−02 6 3 LYM213 0.813 4.94E−02 6 22 LYM213 0.887 7.81E−03 2 28 LYM213 0.794 3.30E−02 4 25 LYM213 0.805 2.88E−02 4 3 WNU104 0.702 1.20E−01 1 28 WNU104 0.931 2.31E−03 1 8 WNU104 0.725 6.54E−02 1 21 WNU104 0.733 6.08E−02 1 7 WNU104 0.758 4.84E−02 1 18 WNU104 0.958 6.89E−04 1 9 WNU104 0.708 7.53E−02 1 23 WNU104 0.876 9.64E−03 1 10 WNU104 0.850 7.54E−03 5 28 WNU104 0.736 2.37E−02 5 26 WNU104 0.808 5.19E−02 6 11 WNU104 0.703 1.19E−01 6 5 WNU104 0.806 5.28E−02 6 34 WNU104 0.702 1.20E−01 6 2 WNU104 0.801 5.57E−02 6 1 WNU104 0.857 2.91E−02 6 18 WNU104 0.793 5.96E−02 6 9 WNU104 0.854 3.03E−02 6 6 WNU104 0.718 1.08E−01 6 30 WNU104 0.704 2.31E−02 3 8 WNU104 0.833 2.75E−03 3 20 WNU104 0.785 7.18E−03 3 7 WNU104 0.731 1.64E−02 3 9 WNU104 0.765 4.52E−02 2 28 WNU104 0.861 6.01E−03 2 21 WNU104 0.706 5.03E−02 2 9 WNU104 0.754 5.00E−02 4 20 WNU104 0.722 6.71E−02 4 24 WNU104 0.896 6.38E−03 4 22 WNU104 0.889 7.42E−03 4 6 WNU75 0.873 2.33E−02 1 34 WNU75 0.913 5.93E−04 5 22 WNU75 0.849 3.27E−02 6 25 WNU75 0.764 1.02E−02 3 25 WNU75 0.767 2.65E−02 8 25 WNU75 0.794 1.86E−02 8 5 WNU75 0.888 3.23E−03 8 32 WNU75 0.708 4.92E−02 8 6 WNU75 0.888 3.23E−03 8 27 WNU75 0.758 4.84E−02 4 13 WNU76 0.704 7.77E−02 1 33 WNU76 0.704 7.77E−02 1 29 WNU76 0.948 1.16E−03 1 20 WNU76 0.821 2.36E−02 1 35 WNU76 0.881 8.79E−03 1 21 WNU76 0.905 5.11E−03 1 2 WNU76 0.879 9.10E−03 1 1 WNU76 0.704 7.77E−02 1 36 WNU76 0.740 5.72E−02 1 31 WNU76 0.883 8.35E−03 1 24 WNU76 0.839 1.83E−02 1 32 WNU76 0.726 6.45E−02 1 3 WNU76 0.927 2.63E−03 1 18 WNU76 0.736 5.95E−02 1 15 WNU76 0.731 6.21E−02 1 12 WNU76 0.858 1.34E−02 1 23 WNU76 0.839 1.83E−02 1 27 WNU76 0.744 2.17E−02 5 25 WNU76 0.815 7.50E−03 5 22 WNU76 0.733 9.71E−02 6 33 WNU76 0.884 1.95E−02 6 25 WNU76 0.733 9.71E−02 6 29 WNU76 0.843 3.49E−02 6 34 WNU76 0.777 6.89E−02 6 2 WNU76 0.733 9.71E−02 6 36 WNU76 0.806 5.26E−02 6 4 WNU76 0.776 6.96E−02 6 3 WNU76 0.716 1.98E−02 3 25 WNU76 0.872 4.76E−03 8 25 WNU76 0.776 2.36E−02 8 4 WNU76 0.817 1.33E−02 8 22 WNU76 0.770 2.53E−02 2 25 WNU76 0.811 1.46E−02 2 5 WNU76 0.704 5.15E−02 2 13 WNU76 0.716 4.56E−02 2 24 WNU76 0.726 4.14E−02 2 32 WNU76 0.859 6.33E−03 2 4 WNU76 0.740 3.59E−02 2 18 WNU76 0.773 2.45E−02 2 6 WNU76 0.833 1.02E−02 2 23 WNU76 0.726 4.14E−02 2 27 WNU76 0.701 7.91E−02 4 33 WNU76 0.701 7.91E−02 4 29 WNU76 0.878 9.34E−03 4 35 WNU76 0.814 2.60E−02 4 16 WNU76 0.773 4.17E−02 4 2 WNU76 0.701 7.91E−02 4 36 WNU76 0.777 4.00E−02 4 31 WNU77 0.808 2.80E−02 1 5 WNU77 0.852 1.49E−02 1 1 WNU77 0.839 1.82E−02 1 7 WNU77 0.825 2.23E−02 1 6 WNU77 0.782 1.27E−02 5 22 WNU77 0.818 4.66E−02 6 13 WNU77 0.810 4.46E−03 3 25 WNU77 0.763 4.59E−02 7 28 WNU77 0.810 1.49E−02 2 25 WNU77 0.729 4.01E−02 2 20 WNU77 0.867 5.28E−03 2 21 WNU77 0.891 2.99E−03 2 24 WNU77 0.719 4.42E−02 2 3 WNU77 0.714 4.65E−02 2 18 WNU77 0.753 5.08E−02 4 16 WNU78 0.874 2.07E−03 5 25 WNU78 0.827 4.21E−02 6 25 WNU78 0.794 5.93E−02 6 3 WNU78 0.769 2.57E−02 8 25 WNU78 0.714 4.68E−02 7 25 WNU80 0.869 2.46E−02 1 28 WNU80 0.719 6.85E−02 1 33 WNU80 0.837 1.88E−02 1 11 WNU80 0.749 5.25E−02 1 5 WNU80 0.719 6.85E−02 1 29 WNU80 0.831 2.06E−02 1 14 WNU80 0.896 6.27E−03 1 20 WNU80 0.776 4.01E−02 1 35 WNU80 0.826 2.21E−02 1 21 WNU80 0.719 6.85E−02 1 36 WNU80 0.885 8.17E−03 1 24 WNU80 0.903 5.41E−03 1 4 WNU80 0.755 4.96E−02 1 3 WNU80 0.894 6.70E−03 1 7 WNU80 0.853 1.48E−02 1 18 WNU80 0.783 3.75E−02 1 26 WNU80 0.869 1.12E−02 1 6 WNU80 0.728 6.39E−02 1 30 WNU80 0.721 2.83E−02 5 33 WNU80 0.931 2.64E−04 5 11 WNU80 0.721 2.83E−02 5 29 WNU80 0.712 3.15E−02 5 20 WNU80 0.759 1.77E−02 5 35 WNU80 0.759 1.77E−02 5 19 WNU80 0.721 2.83E−02 5 36 WNU80 0.726 2.68E−02 5 31 WNU80 0.806 8.74E−03 5 7 WNU80 0.710 3.21E−02 5 9 WNU80 0.807 8.58E−03 5 26 WNU80 0.703 3.46E−02 5 30 WNU80 0.719 2.91E−02 5 10 WNU80 0.938 5.64E−03 6 28 WNU80 0.934 6.37E−03 6 8 WNU80 0.741 9.22E−02 6 21 WNU80 0.734 9.64E−02 6 9 WNU80 0.723 1.04E−01 6 26 WNU80 0.730 9.93E−02 6 10 WNU80 0.725 1.76E−02 3 26 WNU80 0.857 1.37E−02 8 28 WNU80 0.884 3.61E−03 8 8 WNU80 0.728 4.07E−02 8 17 WNU80 0.775 2.38E−02 8 21 WNU80 0.790 1.98E−02 8 18 WNU80 0.944 4.18E−04 8 9 WNU80 0.724 4.22E−02 8 26 WNU80 0.783 2.16E−02 8 10 WNU80 0.924 2.90E−03 7 28 WNU80 0.874 4.53E−03 7 8 WNU80 0.711 4.80E−02 7 17 WNU80 0.722 4.30E−02 7 9 WNU80 0.826 1.14E−02 7 26 WNU80 0.876 4.33E−03 7 10 WNU80 0.721 4.36E−02 2 24 WNU80 0.800 1.71E−02 2 32 WNU80 0.800 1.71E−02 2 27 WNU80 0.891 7.02E−03 4 28 WNU80 0.779 3.88E−02 4 8 WNU80 0.791 3.43E−02 4 21 WNU80 0.796 3.21E−02 4 26 WNU80 0.915 3.89E−03 4 10 WNU81 0.746 5.41E−02 1 11 WNU81 0.886 7.99E−03 1 17 WNU81 0.712 7.25E−02 1 1 WNU81 0.765 4.51E−02 1 10 WNU81 0.953 3.26E−03 6 33 WNU81 0.740 9.24E−02 6 5 WNU81 0.953 3.26E−03 6 29 WNU81 0.837 3.75E−02 6 35 WNU81 0.915 1.06E−02 6 34 WNU81 0.858 2.87E−02 6 2 WNU81 0.819 4.60E−02 6 1 WNU81 0.953 3.26E−03 6 36 WNU81 0.960 2.42E−03 6 31 WNU81 0.745 8.91E−02 6 4 WNU81 0.770 7.30E−02 6 6 WNU81 0.968 1.53E−03 6 30 WNU81 0.823 3.44E−03 3 3 WNU81 0.750 3.20E−02 7 1 WNU81 0.708 7.53E−02 4 21 WNU81 0.825 2.25E−02 4 24 WNU81 0.723 6.62E−02 4 9 WNU82 0.792 3.38E−02 1 19 WNU82 0.707 7.59E−02 1 13 WNU82 0.767 4.42E−02 1 26 WNU82 0.840 4.64E−03 5 22 WNU82 0.719 1.07E−01 6 5 WNU82 0.849 1.89E−03 3 25 WNU82 0.717 4.54E−02 8 5 WNU82 0.757 2.98E−02 2 25 WNU82 0.803 1.63E−02 2 3 WNU82 0.709 4.89E−02 2 12 WNU83 0.928 7.54E−03 6 5 WNU83 0.854 3.04E−02 6 6 WNU83 0.818 2.44E−02 4 28 WNU83 0.812 2.66E−02 4 5 WNU83 0.708 7.51E−02 4 20 WNU83 0.700 7.98E−02 4 21 WNU83 0.812 2.64E−02 4 26 WNU83 0.704 7.74E−02 4 6 WNU83 0.863 1.24E−02 4 10 Table 38. “Corr. ID”—correlation set ID according to the correlated parameters Table above. “Exp. Set”—Expression set. “R” = Pearson correlation coefficient; “P” = p value.

Example 10 Production of Maize 60K Transcriptome Oligonucleotide Micro-Arrays

Genes under differential display associating with Agronomical Nitrogen Use Efficiency. Two maize commercial hybrids and 2 maize inbred lines were grown in 5 repetitive plots in the field under six different N fertilization regimes. Maize seeds were planted and plants were grown in the field using commercial fertilization and irrigation protocols (485 cubic meters of irrigation per dunam, 30 units of 21% uran (N fertilization) per entire growth period-Normal conditions 100% Nitrogen). In addition, the rest of 5 Nitrogen treatments included: 140% of Normal, 50%, 30%, 10% and 0%. In order to define association between the levels of RNA expression with yield components, biomass related parameters and NUE various indices including Agronomical NUE, two maize hybrids and one maize inbred line were selected for RNA expression analysis. The genes up-regulated under certain N fertilization with highest Agronomical NUE or yield or biomass parameters were considered as associated with Agronomical NUE, NUE and yield.

Analyzed Maize tissues—At total 3 maize lines were sampled at V12 developmental stage (tasseling) and R3 (milky) developmental stage. Plant tissues [leaves, lower and upper internodes, flower] were sampled and RNA was extracted as described above. Each micro-array expression information tissue type has received a Set ID as summarized in Table 39 below.

TABLE 39 Maize transcriptome expression sets Expression Set Set ID flower:V12: 1 leaf:R3: 2 leaf:V12: 3 lower internode:R3: 4 lower internode:V12: 5 upper internode:R3: 6 upper internode:V12: 7 Table 39: Provided are the maize transcriptome expression sets

The following parameters were collected either by sampling 6 plants per plot or by measuring the parameter across all the plants within the plot.

Grain weight (yield) per plant (kg.)—At the end of the experiment all ears from plots were collected. All ears from the plot were separately threshed and grains were weighted, all additional ears were threshed together and weighted as well. The average grain weight per ear was calculated by dividing the total grain weight by number of total ears per plot (based on plot).

Agronomical NUE (Agronomical Nitrogen Use Efficiency)—Agronomical NUE coefficient measures the ability of plant to efficiently use the each additional unit of Nitrogen added as fertilizer and was calculated using Formula XXXVI (Agronomical NUE, described above).

TABLE 40 Correlated parameters in Maize accessions throughout all N levels (e.g., 140%, 100%, 50%, 30%, 10% and 0%) Correlated parameter with Correlation ID N harvest index calculated 1 Table 40. “NTI (N harvest index)” = the ratio between total grain N and total plant N (=total shoot N + total grain N).

TABLE 41 Measured parameters in Maize accessions Corr. Line ID L-1 L-2 L-3 L-4 L-5 L-6 L-7 L-8 L-9 L-10 L-11 L-12 1 38.0 37.1 36.2 31.5 33.7 35.0 34.8 42.8 36.2 44.2 29.1 37.6 Table 41.

TABLE 42 Correlation between the expression level of selected genes of some embodiments of the invention in various tissues and the phenotypic performance under normal or low nitrogen fertilization conditions across Arabidopsis accessions Gene Name R P value Exp. set Corr. ID WNU83 0.702 1.09E−02 2 1 Table 42. “Corr. ID”—correlation set ID according to the correlated parameters Table above. “Exp. Set”—Expression set. “R” = Pearson correlation coefficient; “P” = p value.

Example 11 Production of Bra Chypodium Transcriptome and High Throughput Correlation Analysis Using 60K BRA Chypodium Oligonucleotide Micro-Array

In order to produce a high throughput correlation analysis comparing between plant phenotype and gene expression level, the present inventors utilized a brachypodium oligonucleotide micro-array, produced by Agilent Technologies [chem. (dot) agilent (dot) com/Scripts/PDS (dot) asp?lPage=50879]. The array oligonucleotide represents about 60K brachypodium genes and transcripts. In order to define correlations between the levels of RNA expression and yield or vigor related parameters, various plant characteristics of 24 different brachypodium accessions were analyzed. Among them, 22 accessions encompassing the observed variance were selected for RNA expression analysis and comparative genomic hybridization (CGH) analysis.

The correlation between the RNA levels and the characterized parameters was analyzed using Pearson correlation test [davidmlane (dot) com/hyperstat/A34739 (dot) html].

Additional correlation analysis was done by comparing plant phenotype and gene copy number. The correlation between the normalized copy number hybridization signal and the characterized parameters was analyzed using Pearson correlation test [davidmlane (dot) com/hyperstat/A34739 (dot) html].

Experimental Procedures

Twenty four brachypodium accessions were grown in 4-6 repetitive plots (8 plant per plot) in a green house. The growing protocol was as follows: brachypodium seeds were sown in plots and grown under normal condition (6 mM of Nitrogen as ammonium nitrate) or reduced N level (low N, 35% of normal nitrogen fertilization).

Analyzed Brachypodium tissues—two tissues [leaf and spike] were sampled and RNA was extracted as described above. Each micro-array expression information tissue type has received a Set ID as summarized in Tables 43-44 below.

TABLE 43 Brachypodium transcriptome expression sets under low N conditions Expression Set Set ID flower:low N:flowering: 1 leaf:low N:flowering: 2 Table 43. Provided are the brachypodium transcriptome expression sets under low N conditions.

TABLE 44 Brachypodium transcriptome expression sets under Normal conditions Expression Set Set ID leaf:flowering:normal: 1 spike:flowering:normal: 2 Provided are the brachypodium transcriptome expression sets under normal conditions

Brachypodium yield components and vigor related parameters assessment -Plants were continuously phenotyped during the growth period and at harvest (Table 45-46, below). The image analysis system included a personal desktop computer (Intel P4 3.0 GHz processor) and a public domain program—ImageJ 1.37 [Java based image processing program, which was developed at the U.S. National Institutes of Health and freely available on the internet rsbweb (dot) nih (dot) gov/]. Next, analyzed data was saved to text files and processed using the JMP statistical analysis software (SAS institute).

At the end of the growing period the grains were separated from the spikes and the following parameters were measured using digital imaging system and collected:

No. of tillering—all tillers were counted per plant at harvest (mean per plot).

Head number—At the end of the experiment, heads were harvested from each plot and were counted.

Total Grains weight per plot (gr.)—At the end of the experiment (plant ‘Heads’) heads from plots were collected, the heads were threshed and grains were weighted. In addition, the average grain weight per head was calculated by dividing the total grain weight by number of total heads per plot (based on plot).

Highest number of spikelets—The highest spikelet number per head was calculated per plant (mean per plot).

Mean number of spikelets—The mean spikelet number per head was calculated per plot.

Plant height—Each of the plants was measured for its height using measuring tape. Height was measured from ground level to spike base of the longest spike at harvest.

Spikelets weight (gr.)—The biomass and spikes weight of each plot was separated, measured per plot.

Average head weight—calculated by dividing spikelets weight with head number (gr.).

Harvest Index—The harvest index was calculated using Formula XXXVII (Harvest Index for brachypodium, described above).

Spikelets Index—The Spikelets index was calculated using Formula XXXI (above).

Percent Number of heads with spikelets—The number of heads with more than one spikelet per plant were counted and the percent from all heads per plant was calculated.

Total dry mater per plot—Calculated as Vegetative portion above ground plus all the spikelet dry weight per plot.

1000 grain weight—At the end of the experiment all grains from all plots were collected and weighted and the weight of 1000 were calculated.

The following parameters were collected using digital imaging system:

At the end of the growing period the grains were separated from the spikes and the following parameters were measured and collected:

(i) Average Grain Area (cm²)—A sample of ˜200 grains was weighted, photographed and images were processed using the below described image processing system. The grain area was measured from those images and was divided by the number of grains.

(ii) Average Grain Length, perimeter and width (cm)—A sample of ˜200 grains was weighted, photographed and images were processed using the below described image processing system. The sum of grain lengths and width (longest axis) was measured from those images and was divided by the number of grains.

The image processing system used consisted of a personal desktop computer (Intel P4 3.0 GHz processor) and a public domain program—ImageJ 1.37, Java based image processing software, which was developed at the U.S. National Institutes of Health and is freely available on the internet at rsbweb (dot) nih (dot) gov/. Images were captured in resolution of 10 Mega Pixels (3888×2592 pixels) and stored in a low compression JPEG (Joint Photographic Experts Group standard) format. Next, image processing output data for seed area and seed length was saved to text files and analyzed using the JMP statistical analysis software (SAS institute).

Maintenance of performance under low N conditions: Expressed as ratio of the specific parameter under low N condition divided by Normal conditions results (maintenance of phenotype under low N in comparison to normal conditions).

TABLE 45 Brachypodium correlated parameters under low N conditions (vectors) Correlation set Correlation ID % Number of heads with spikelets 1 1000 grain weight [gr] 2 Avr head weight [gr] 3 Grain Perimeter [mm] 4 Grain area [mm²] 5 Grains weight per plant [gr] 6 Grains weight per plot [gr] 7 Harvest index 8 Heads per plant 9 Heads per plot 10 Mean number of spikelets per plot 11 Number of heads with spikelets per plant 12 Plant Vegetative DW [gr] 13 Plant height [cm] 14 Spikelets DW per plant [gr] 15 Spikelets weight [gr] 16 Tillering 17 Total dry mater per plant [gr] 18 Total dry mater per plot [gr] 19 Vegetative DW [gr] 20 Provided are the brachypodium correlated parameters. “Avr” = average; “gr” = grams; “cm” = centimeter; “mm” = millimeter.

TABLE 46 Brachypodium correlated parameters under normal conditions (vectors) Correlated parameter with Correlation ID 1000 grain weight [gr] 1 Avr head weight [gr] 2 Grain Perimeter [mm] 3 Grain area [mm²] 4 Grain length [mm] 5 Grain width [mm] 6 Grains weight per plant [gr] 7 Grains weight per plot [gr] 8 Harvest index 9 Heads per plant 10 Heads per plot 11 Highest num of spikelets per plot 12 Mean num of spikelets per plot 13 Num of heads with spikelets per plant 14 Percent Num of heads with spikelets [%] 15 Plant Vegetative DW [gr] 16 Plant height [cm] 17 Plants num 18 Spikelets DW per plant [gr] 19 Spikelets weight [gr] 20 Spikes index 21 Tillering 22 Total dry mater per plant [gr] 23 Total dry mater per plot [gr] 24 Vegetative DW [gr] 25 Provided are the brachypodium correlated parameters. “Avr” = average; “gr” = grams; “cm” = centimeter; “mm” = millimeter.

Experimental Results

Twenty five different Brachypodium accessions were grown and characterized for different parameters as described above. The average for each of the measured parameter was calculated using the JMP software and values are summarized in Tables 47-48 below. Subsequent correlation analysis between the various transcriptome sets and the average parameters was conducted (Tables 53-55). Follow, results were integrated to the database.

TABLE 47 Measured parameters of correlation IDs in Brachypodium accessions under low N conditions Cor. Line ID L-1 L-2 L-3 L-4 L-5 L-6 L-7 L-8 L-9 L-10 L-11 L-12 1 15.93 32.43 31.49 13.33 12.76 6.48 7.38 5.39 7.04 48.22 4.74 8.55 2 4.00 3.88 4.31 3.23 4.70 5.98 5.12 4.33 5.67 4.08 4.95 4.66 3 0.04 0.06 0.04 0.05 0.05 0.04 0.04 0.03 0.04 0.05 0.05 0.03 4 1.73 1.57 1.62 1.68 1.71 1.86 1.91 1.79 1.86 1.70 1.83 1.66 5 0.11 0.09 0.09 0.09 0.09 0.11 0.12 0.10 0.10 0.10 0.11 0.09 6 0.08 0.15 0.05 0.09 0.17 0.16 0.05 0.06 0.14 0.06 0.07 0.05 7 0.64 0.51 0.39 0.37 1.39 1.27 0.38 0.47 1.02 0.47 0.54 0.41 8 0.15 0.27 0.15 0.31 0.20 0.28 0.12 0.14 0.39 0.10 0.17 0.09 9 10.48 7.17 6.03 4.75 11.28 8.45 7.04 10.93 5.80 8.09 6.56 13.00 10 81.80 26.00 48.25 19.00 90.25 67.60 53.50 85.83 41.67 60.25 50.00 104.00 11 1.66 2.08 1.91 1.50 1.66 1.45 1.44 1.49 1.37 2.55 1.18 1.58 12 1.89 2.83 1.84 0.75 1.63 0.63 0.63 0.66 0.39 3.80 0.37 1.18 13 0.19 0.15 0.10 0.07 0.28 0.21 0.14 0.18 0.12 0.25 0.15 0.23 14 24.70 23.58 22.53 16.88 27.13 30.14 22.66 22.27 23.92 27.97 22.99 25.64 15 0.37 0.45 0.25 0.23 0.57 0.34 0.26 0.29 0.25 0.41 0.30 0.42 16 2.90 1.39 2.04 0.91 4.59 2.70 2.02 2.31 1.83 3.07 2.29 3.34 17 10.97 6.92 6.72 5.50 11.31 9.03 7.54 11.06 6.24 8.32 6.89 13.08 18 0.57 0.59 0.35 0.30 0.85 0.55 0.40 0.47 0.37 0.66 0.45 0.65 19 4.42 1.86 2.81 1.18 6.84 4.39 3.09 3.75 2.67 4.99 3.41 5.21 20 1.52 0.47 0.78 0.27 2.24 1.69 1.07 1.44 0.84 1.92 1.13 1.87 Table 47. Correlation (Cor.) IDs: 1, 2, 3, 4, 5, . . . etc. refer to those described in Table 45 above [Brachypodium correlated parameters (vectors)]. The Brachypodium accession numbers are Line 12, Line 13, Line 13, etc.

TABLE 48 Measured parameters of correlation IDs in additional brachypodium accessions under low N conditions Cor. Line ID L-13 L-14 L-15 L-16 L-17 L-18 L-19 L-20 L-21 L-22 L-23 L-24 1 10.09 10.82 39.53 37.28 37.56 21.19 48.70 15.07 11.01 40.29 34.70 10.09 2 5.24 4.94 4.38 4.09 5.93 4.63 3.53 3.92 4.73 6.24 5.29 5.24 3 0.04 0.05 0.08 0.07 0.07 0.05 0.05 0.04 0.06 0.08 0.09 0.04 4 1.79 1.74 1.84 1.70 1.84 1.71 1.68 1.65 1.85 1.88 1.88 1.79 5 0.12 0.10 0.10 0.08 0.12 0.09 0.09 0.09 0.11 0.12 0.11 0.12 6 0.14 0.09 0.17 0.35 0.13 0.18 0.20 0.20 0.27 0.06 0.48 0.14 7 1.07 0.71 1.34 2.49 0.91 1.33 1.58 1.55 2.16 0.45 3.65 1.07 8 0.15 0.13 0.10 0.23 0.17 0.18 0.18 0.25 0.20 0.05 0.28 0.15 9 12.11 9.03 12.23 12.80 7.95 12.20 10.73 15.81 13.22 2.38 12.16 12.11 10 93.25 69.75 97.83 91.00 57.83 92.33 85.80 125.00 105.75 19.00 91.88 93.25 11 1.64 1.52 2.17 2.04 1.93 1.89 2.10 1.87 1.72 0.81 2.35 1.64 12 1.37 1.11 5.04 4.99 3.04 2.64 5.38 2.18 1.66 0.94 3.89 1.37 13 0.39 0.22 0.58 0.50 0.27 0.37 0.33 0.30 0.33 1.03 0.73 0.39 14 34.98 21.27 38.35 36.24 30.23 28.96 34.70 21.94 29.59 21.63 41.92 34.98 15 0.53 0.47 0.98 0.92 0.54 0.59 0.58 0.61 0.76 0.18 1.01 0.53 16 4.10 3.56 7.87 6.56 3.92 4.41 4.67 4.83 6.07 1.43 7.51 4.10 17 12.21 9.42 12.48 13.74 7.99 12.74 10.80 16.72 13.19 14.67 12.98 12.21 18 0.92 0.68 1.57 1.42 0.82 0.95 0.91 0.91 1.09 1.21 1.74 0.92 19 7.10 5.23 12.54 10.08 5.86 7.07 7.31 7.20 8.71 9.67 12.89 7.10 20 3.00 1.67 4.67 3.53 1.94 2.66 2.64 2.37 2.64 8.24 5.38 3.00 Table 48. Correlation (Cor.) IDs: 1, 2, 3, 4, 5, . . . etc. refer to those described in Table 45 above [Brachypodium correlated parameters (vectors)]. The Brachypodium accession numbers are Line 13, Line 14, etc.

TABLE 49 Measured parameters of correlation IDs in Brachypodium accessions under normal conditions Cor. Line ID L-1 L-2 L-3 L-4 L-5 L-6 L-7 L-8 L-9 L-10 L-11 L-12 1 3.75 3.78 3.35 4.89 5.54 4.98 4.83 5.54 3.84 4.76 4.73 5.24 2 0.06 0.04 0.05 0.08 0.04 0.06 0.05 0.04 0.08 0.06 0.05 0.05 3 1.67 1.62 1.62 1.69 1.82 1.83 1.75 1.93 1.68 1.82 1.69 1.91 4 0.10 0.10 0.09 0.09 0.11 0.11 0.10 0.11 0.10 0.11 0.10 0.12 5 0.73 0.72 0.72 0.74 0.83 0.82 0.78 0.90 0.75 0.79 0.75 0.86 6 0.18 0.17 0.17 0.16 0.16 0.17 0.17 0.16 0.17 0.18 0.17 0.19 7 0.14 0.06 0.08 0.26 0.14 0.14 0.14 0.11 0.08 0.07 0.39 0.14 8 1.05 0.44 0.61 1.96 1.11 1.07 1.09 0.84 0.50 0.39 3.07 1.09 9 0.13 0.14 0.15 0.21 0.20 0.16 0.14 0.26 0.07 0.11 0.22 0.09 10 16.30 7.08 6.59 11.63 10.48 9.09 14.13 5.88 11.89 8.02 23.75 16.06 11 121.75 56.60 52.75 83.40 82.40 70.13 110.33 47.00 81.50 48.60 185.50 125.00 12 3.00 2.60 3.00 2.20 2.00 2.25 1.83 2.00 3.50 2.00 2.50 2.40 13 2.10 2.10 1.72 1.69 1.38 1.65 1.43 1.25 2.41 1.56 1.76 1.83 14 5.27 2.50 2.06 2.08 0.71 1.94 1.08 0.35 7.59 1.87 4.98 3.70 15 27.62 35.33 21.67 14.00 5.42 15.42 6.40 4.51 55.41 16.51 15.52 20.34 16 0.42 0.12 0.13 0.38 0.32 0.32 0.39 0.13 0.44 0.31 0.87 0.69 17 31.65 23.44 22.75 31.95 34.36 28.65 28.88 24.74 31.40 29.15 37.30 45.09 18 7.50 8.00 8.00 7.20 7.80 7.75 7.83 8.00 6.50 6.40 7.75 8.00 19 0.96 0.31 0.33 0.88 0.44 0.56 0.67 0.26 0.92 0.45 1.14 0.83 20 7.18 2.50 2.68 6.42 3.45 4.29 5.29 2.04 6.25 2.66 8.89 6.65 21 0.71 0.72 0.73 0.71 0.58 0.66 0.64 0.66 0.69 0.61 0.59 0.54 22 16.84 7.20 7.00 11.97 10.67 9.38 14.58 6.35 12.38 8.61 25.50 16.56 23 1.38 0.43 0.47 1.25 0.76 0.88 1.06 0.38 1.36 0.76 2.01 1.53 24 10.26 3.45 3.74 9.12 6.00 6.78 8.34 3.04 9.21 4.47 15.79 12.20 25 3.08 0.95 1.06 2.69 2.55 2.48 3.05 1.00 2.96 1.81 6.89 5.55 Table 49. Correlation (Cor.) IDs: 1, 2, 3, 4, 5, . . . etc. refer to those described in Table 46 above [Brachypodium correlated parameters (vectors)]. The Brachypodium accession numbers are Line 12, Line 13, Line 13, etc.

TABLE 50 Measured parameters of correlation IDs in additional brachypodium accessions normal conditions Cor. Line ID L-13 L-14 L-15 L-16 L-17 L-18 L-19 L-20 L-21 L-22 1 4.96 4.00 4.26 5.99 4.34 3.70 3.90 4.82 4.87 3.76 2 0.06 0.10 0.08 0.08 0.06 0.09 0.04 0.06 0.09 0.09 3 1.71 1.81 1.76 1.87 1.66 1.65 1.60 1.80 1.90 1.68 4 0.10 0.10 0.09 0.12 0.09 0.09 0.09 0.11 0.11 0.09 5 0.74 0.84 0.80 0.84 0.74 0.75 0.72 0.79 0.87 0.76 6 0.17 0.15 0.14 0.18 0.16 0.15 0.15 0.17 0.17 0.15 7 0.13 0.37 0.49 0.31 0.20 0.35 0.27 0.32 0.44 0.30 8 1.07 2.99 3.52 2.41 1.47 2.58 2.04 2.58 3.40 1.92 9 0.18 0.09 0.16 0.18 0.11 0.21 0.17 0.15 0.18 0.09 10 9.74 22.19 24.32 13.25 19.22 16.11 21.40 25.88 17.05 25.54 11 80.75 177.5 172.8 98.6 143.2 123.5 156.8 207 135 177 12 2.00 3.50 3.80 2.80 2.83 2.83 2.33 2.60 4.50 3.17 13 1.42 2.71 2.61 2.12 2.16 2.17 1.85 1.93 2.85 2.79 14 0.89 12.58 12.13 6.35 7.15 9.44 5.02 4.90 7.72 15.36 15 8.11 53.21 47.81 42.81 34.92 52.41 20.84 17.55 47.73 59.01 16 0.34 1.72 1.32 0.48 0.63 0.82 0.68 0.87 1.05 1.73 17 22.39 55.04 45.34 40.20 39.18 45.35 29.41 38.39 46.74 58.82 18 8.25 8.00 7.00 7.60 7.33 7.50 7.33 8.00 7.88 6.83 19 0.59 2.27 1.91 1.09 1.26 1.46 0.96 1.56 1.42 2.25 20 4.92 18.15 13.49 8.35 9.42 11.31 7.16 12.44 11.05 15.55 21 0.68 0.56 0.59 0.70 0.66 0.68 0.60 0.65 0.58 0.57 22 10.54 27.15 26.30 13.56 20.79 16.99 23.61 27.20 18.25 29.09 23 0.94 3.99 3.23 1.57 1.89 2.28 1.63 2.43 2.47 3.98 24 7.76 31.94 22.78 12.04 14.14 17.78 12.29 19.40 19.27 27.67 25 2.84 13.80 9.28 3.70 4.72 6.47 5.13 6.96 8.23 12.12 Table 50. Correlation (Cor.) IDs: 1, 2, 3, 4, 5, . . . etc. refer to those described in Table 46 above [Brachypodium correlated parameters (vectors)]. The Brachypodium accession numbers are Line 12, Line 13, Line 13, etc.

TABLE 51 Measured parameters of correlation IDs in Brachypodium accessions under low N vs. normal conditions Cor. Line ID L-1 L-2 L-3 L-4 L-5 L-6 L-7 L-8 L-9 L-10 L-11 1 0.58 0.89 0.62 0.91 1.19 0.48 0.84 1.56 0.87 0.29 0.55 2 1.07 1.14 0.97 0.96 1.08 1.03 0.90 1.02 1.06 1.04 0.98 3 0.62 0.97 0.97 0.67 0.98 0.68 0.55 1.06 0.66 0.83 0.66 4 1.04 1.00 1.03 1.01 1.02 1.04 1.03 0.96 1.01 1.01 0.98 5 1.03 0.94 0.99 0.99 1.03 1.04 0.95 0.95 1.02 1.01 0.94 6 0.58 0.88 1.20 0.68 1.13 0.36 0.43 1.37 0.83 1.05 0.13 7 0.61 0.88 0.60 0.71 1.14 0.36 0.43 1.22 0.94 1.39 0.13 8 1.13 1.05 2.10 1.00 1.42 0.76 1.01 1.52 1.50 1.58 0.40 9 0.64 0.85 0.72 0.97 0.81 0.77 0.77 0.99 0.68 0.82 0.55 10 0.67 0.85 0.36 1.08 0.82 0.76 0.78 0.89 0.74 1.03 0.56 11 0.79 0.91 0.87 0.98 1.05 0.88 1.04 1.10 1.06 0.75 0.89 12 0.36 0.74 0.36 0.78 0.88 0.32 0.61 1.13 0.50 0.20 0.24 13 0.47 0.82 0.51 0.75 0.65 0.43 0.47 0.94 0.58 0.48 0.27 14 0.78 0.96 0.74 0.85 0.88 0.79 0.77 0.97 0.89 0.79 0.69 15 0.39 0.82 0.68 0.66 0.77 0.47 0.43 1.00 0.44 0.67 0.37 16 0.40 0.82 0.34 0.71 0.78 0.47 0.44 0.90 0.49 0.86 0.38 17 0.65 0.93 0.79 0.95 0.85 0.80 0.76 0.98 0.67 0.80 0.51 18 0.41 0.82 0.63 0.68 0.72 0.46 0.45 0.98 0.49 0.59 0.32 19 0.43 0.82 0.32 0.75 0.73 0.46 0.45 0.88 0.54 0.76 0.33 20 0.49 0.82 0.25 0.83 0.66 0.43 0.47 0.84 0.65 0.62 0.27 Table 51. Correlation IDs: 1, 2, 3, 4, 5, . . . etc. refer to those described in Table 45 above [Brachypodium correlated parameters (vectors)]. The Brachypodium accession numbers are Line 1, Line 2, etc. Phenotypic ratio of low N versus normal conditions (Maintenance of performance under low N conditions) was calculated and correlation of this ratio with expression under low N conditions was calculated.

TABLE 52 Measured parameters of correlation IDs in additional brachypodium accessions under low N vs. normal conditions Corr. Line ID L-12 L-13 L-14 L-15 L-16 L-17 L-18 L-19 L-20 L-21 L-22 1 0.50 1.33 0.74 0.78 0.88 0.61 0.93 0.72 0.63 0.73 0.91 2 1.00 1.00 1.09 0.96 0.99 1.07 0.95 1.00 0.98 1.09 1.08 3 0.84 0.90 0.78 0.92 0.83 0.76 0.62 0.95 0.93 0.98 0.93 4 0.94 1.02 1.02 0.97 0.98 1.03 1.02 1.03 1.03 0.99 0.98 5 0.94 1.03 1.01 0.93 0.98 1.04 1.04 1.03 1.03 0.99 0.97 6 1.02 0.75 0.45 0.70 0.42 0.88 0.57 0.74 0.84 1.11 0.38 7 0.98 0.66 0.45 0.71 0.38 0.90 0.61 0.76 0.84 1.07 0.46 8 1.64 0.74 1.11 1.47 0.93 1.59 0.85 1.44 1.32 1.57 0.63 9 0.75 0.93 0.55 0.53 0.60 0.63 0.67 0.74 0.51 0.71 0.60 10 0.75 0.86 0.55 0.53 0.59 0.64 0.69 0.80 0.51 0.68 0.64 11 0.90 1.07 0.80 0.78 0.91 0.88 0.97 1.01 0.89 0.82 0.82 12 0.37 1.25 0.40 0.41 0.48 0.37 0.57 0.43 0.34 0.50 0.54 13 0.56 0.63 0.34 0.38 0.57 0.58 0.40 0.44 0.38 0.70 0.51 14 0.78 0.95 0.70 0.80 0.75 0.74 0.77 0.75 0.77 0.90 0.69 15 0.64 0.79 0.43 0.48 0.50 0.47 0.40 0.64 0.49 0.71 0.57 16 0.62 0.72 0.43 0.49 0.47 0.47 0.41 0.67 0.49 0.68 0.61 17 0.74 0.89 0.46 0.52 0.59 0.61 0.64 0.71 0.48 0.71 0.53 18 0.60 0.73 0.39 0.44 0.52 0.51 0.40 0.56 0.45 0.71 0.54 19 0.58 0.67 0.39 0.44 0.49 0.50 0.41 0.59 0.45 0.67 0.57 20 0.54 0.59 0.34 0.38 0.52 0.56 0.41 0.46 0.38 0.65 0.53 Table 52: Correlation IDs: 1, 2, 3, 4, 5, . . . etc. refer to those described in Table 45 above [Brachypodium correlated parameters (vectors)]. The Brachypodium accession numbers are Line 12, Line 13, etc. Phenotypic ratio of low N versus normal conditions (Maintenance of performance under low N conditions) was calculated and correlation of this ratio with expression under low N conditions was calculated.

TABLE 53 Correlation between the expression level of selected genes of some embodiments of the invention in various tissues and the phenotypic performance under low nitrogen fertilization conditions across brachypodium accessions Gene Exp. Cor. Gene Exp. Cor. Name R P value set Set ID Name R P value set Set ID WNU45 0.705 1.05E−02 1 19 WNU45 0.727 7.40E−03 1 15 WNU45 0.718 8.54E−03 1 13 WNU45 0.704 1.06E−02 1 16 WNU45 0.727 7.33E−03 1 18 WNU46 0.828 8.80E−04 1 10 WNU46 0.870 2.32E−04 1 17 WNU46 0.905 5.28E−05 1 19 WNU46 0.907 4.75E−05 1 15 WNU46 0.712 9.41E−03 1 1 WNU46 0.899 6.89E−05 1 20 WNU46 0.908 4.46E−05 1 13 WNU46 0.805 1.57E−03 1 12 WNU46 0.900 6.73E−05 1 16 WNU46 0.851 4.49E−04 1 11 WNU46 0.732 6.77E−03 1 14 WNU46 0.858 3.51E−04 1 9 WNU46 0.792 2.15E−03 1 3 WNU46 0.913 3.46E−05 1 18 WNU47 0.801 1.74E−03 2 1 WNU47 0.813 1.29E−03 2 12 WNU47 0.747 5.28E−03 2 11 WNU47 0.712 9.40E−03 1 10 WNU47 0.704 1.07E−02 1 17 WNU47 0.745 5.42E−03 1 9 WNU50 0.790 2.22E−03 2 10 WNU49 0.785 2.47E−03 1 2 WNU50 0.816 1.20E−03 2 19 WNU50 0.749 5.01E−03 2 17 WNU50 0.855 3.95E−04 2 1 WNU50 0.791 2.20E−03 2 15 WNU50 0.789 2.30E−03 2 13 WNU50 0.808 1.48E−03 2 20 WNU50 0.814 1.26E−03 2 16 WNU50 0.901 6.40E−05 2 12 WNU50 0.797 1.90E−03 2 14 WNU50 0.852 4.28E−04 2 11 WNU50 0.795 2.02E−03 2 18 WNU50 0.773 3.18E−03 2 9 WNU51 0.838 6.71E−04 2 15 WNU51 0.864 2.93E−04 2 19 WNU51 0.890 1.07E−04 2 20 WNU51 0.841 6.06E−04 2 6 WNU51 0.747 5.23E−03 2 12 WNU51 0.893 9.39E−05 2 13 WNU51 0.770 3.38E−03 2 11 WNU51 0.837 6.89E−04 2 16 WNU51 0.839 6.47E−04 2 7 WNU51 0.798 1.88E−03 2 14 WNU51 0.781 2.71E−03 2 3 WNU51 0.704 1.06E−02 2 9 WNU52 0.718 8.52E−03 1 19 WNU51 0.866 2.72E−04 2 18 WNU52 0.871 2.29E−04 1 1 WNU52 0.722 8.04E−03 1 15 WNU52 0.708 9.92E−03 1 13 WNU52 0.706 1.03E−02 1 20 WNU52 0.720 8.25E−03 1 16 WNU52 0.853 4.19E−04 1 12 WNU52 0.788 2.35E−03 1 14 WNU52 0.852 4.32E−04 1 11 WNU52 0.720 8.22E−03 1 18 WNU52 0.712 9.45E−03 1 9 Table 53. “Cor. ID”—correlation set ID according to the correlated parameters Table above. “Exp. Set”—Expression set. “R” = Pearson correlation coefficient; “P” = p value.

TABLE 54 Correlation between the expression level of selected genes of some embodiments of the invention in various tissues and the phenotypic performance under normal nitrogen fertilization conditions across brachypodium accessions Gene Exp. Cor. Gene Exp. Cor. Name R P value set Set ID Name R P value set Set ID WNU46 0.806 4.92E−03 2 21 WNU52 0.725 1.76E−02 2 15 WNU49 0.762 1.04E−02 2 18 WNU52 0.754 1.17E−02 2 14 Table 54. “Cor. ID”—correlation set ID according to the correlated parameters Table above. “Exp. Set”—Expression set. “R” = Pearson correlation coefficient; “P” = p value.

TABLE 55 Correlation between the expression level of selected genes of some embodiments of the invention in various tissues and the phenotypic performance under low nitrogen fertilization vs. normal conditions across brachypodium accessions Gene Exp. Cor. Gene Exp. Cor. Name R P value set Set ID Name R P value set Set ID WNU49 0.777 2.94E−03 1 20 WNU49 0.713 9.17E−03 1 19 WNU49 0.718 8.56E−03 1 13 Table 55. “Corr. ID”—correlation set ID according to the correlated parameters Table above. “Exp. Set”—Expression set. “R” = Pearson correlation coefficient; “P” = p value.

Example 12 Production of Foxtail Millet Transcriptome and High Throughput Correlation Analysis Using 60K Foxtail Millet Oligonucleotide Micro-Array

In order to produce a high throughput correlation analysis comparing between plant phenotype and gene expression level, the present inventors utilized a foxtail millet oligonucleotide micro-array, produced by Agilent Technologies [chem. (dot) agilent (dot) com/Scripts/PDS (dot) asp?lPage=50879]. The array oligonucleotide represents about 60K foxtail millet genes and transcripts. In order to define correlations between the levels of RNA expression and yield or vigor related parameters, various plant characteristics of 14 different foxtail millet accessions were analyzed. Among them, 11 accessions encompassing the observed variance were selected for RNA expression analysis. The correlation between the RNA levels and the characterized parameters was analyzed using Pearson correlation test [davidmlane (dot) com/hyperstat/A34739 (dot) html].

Experimental Procedures

Fourteen Foxtail millet accessions in 5 repetitive plots, in the field. Foxtail millet seeds were sown in soil and grown under normal condition [15 units of Nitrogen (kg nitrogen per dunam)], reduced nitrogen fertilization (2.5-3.0 units of Nitrogen in the soil (based on soil measurements) and reduced stands in the field [i.e., 8 plants per meter per row as compared to “standard” stands of 17 plants per meter row].

Analyzed Foxtail millet tissues—three tissues at different developmental stages [leaf, flower, and stem], representing different plant characteristics, were sampled and RNA was extracted as described above. Each micro-array expression information tissue type has received a Set ID as summarized in Tables 56-57 below.

TABLE 56 Foxtail millet transcriptome expression sets under normal conditions Expression Set Set ID normal/flag leaf:Normal:grainfilling: 1 normal/flag leaf:Normal:heading: 2 normal/flower:Normal:heading: 3 normal/head:Normal:grainfilling: 4 normal/leaf:Normal:seedling: 5 normal/low stem:Normal:heading: 6 normal/mature leaf:Normal:grainfilling: 7 normal/root:Normal:seedling: 8 normal/stem:Normal:seedling: 9 normal/stem node:Normal:grainfilling: 10 normal/up stem:Normal:grainfilling: 11 normal/up stem:Normal:heading: 12 normal/vein:Normal:grainfilling: 13 Provided are the foxtail millet transcriptome expression sets under normal conditions

TABLE 57 Foxtail millet transcriptome expression sets under low N conditions Expression Set Set ID Low N/flag leaf:Low N:grainfilling: 1 Low N/flag leaf:Low N:heading: 2 Low N/flower:Low N:heading: 3 Low N/head:Low N:grainfilling: 4 Low N/low stem:Low N:heading: 5 Low N/mature leaf:Low N:grainfilling: 6 Low N/stem node:Low N:grainfilling: 7 Low N/up stem:Low N:grainfilling: 8 Low N/up stem:Low N:heading: 9 Low N/vein:Low N:grainfilling: 10 Provided are the foxtail millet transcriptome expression sets under low N conditions

Foxtail millet yield components and vigor related parameters assessment—Plants were continuously phenotyped during the growth period and at harvest (Tables 58-59, below). The image analysis system included a personal desktop computer (Intel P4 3.0 GHz processor) and a public domain program—ImageJ 1.37 (Java based image processing program, which was developed at the U.S. National Institutes of Health and freely available on the internet [rsbweb (dot) nih (dot) gov/]. Next, analyzed data was saved to text files and processed using the JMP statistical analysis software (SAS institute).

The following parameters were collected using digital imaging system:

At the end of the growing period the grains were separated from the Plant ‘Head’ and the following parameters were measured and collected:

(i) Average Grain Area (cm²)—A sample of ˜200 grains was weighted, photographed and images were processed using the below described image processing system. The grain area was measured from those images and was divided by the number of grains.

(ii) Average Grain Length and width (cm)—A sample of ˜200 grains was weighted, photographed and images were processed using the below described image processing system. The sum of grain lengths and width (longest axis) was measured from those images and was divided by the number of grains.

At the end of the growing period 14 ‘Heads’ were photographed and images were processed using the below described image processing system.

(i) Head Average Area (cm²)—The ‘Head’ area was measured from those images and was divided by the number of ‘Heads’.

(ii) Head Average Length (mm)—The ‘Head’ length (longest axis) was measured from those images and was divided by the number of ‘Heads’.

The image processing system was used, which consists of a personal desktop computer (Intel P4 3.0 GHz processor) and a public domain program—ImageJ 1.37, Java based image processing software, which was developed at the U.S. National Institutes of Health and is freely available on the internet at rsbweb (dot) nih (dot) gov/. Images were captured in resolution of 10 Mega Pixels (3888×2592 pixels) and stored in a low compression JPEG (Joint Photographic Experts Group standard) format. Next, image processing output data for seed area and seed length was saved to text files and analyzed using the JMP statistical analysis software (SAS institute).

Additional parameters were collected either by sampling 5 plants per plot (SP) or by measuring the parameter across all the plants within the plot (RP).

Total Grain Weight (gr.)—At the end of the experiment (plant ‘Heads’) heads from plots were collected, the heads were threshed and grains were weighted. In addition, the average grain weight per head was calculated by dividing the total grain weight by number of total heads per plot (based on plot).

Head weight and head number—At the end of the experiment, heads were harvested from each plot and were counted and weighted (kg.).

Biomass at harvest—At the end of the experiment the vegetative material from plots was weighted.

Dry weight—total weight of the vegetative portion above ground (excluding roots) after drying at 70° C. in oven for 48 hours at harvest.

Total dry mater per plot—Calculated as Vegetative portion above ground plus all the heads dry weight per plot.

Num days to anthesis—Calculated as the number of days from sowing till 50% of the plot arrives anthesis.

Total No. of tillers—all tillers were counted per plot at two time points at the Vegetative growth (30 days after sowing) and at harvest.

SPAD—Chlorophyll content was determined using a Minolta SPAD 502 chlorophyll meter and measurement was performed at time of flowering. SPAD meter readings were done on young fully developed leaf. Three measurements per leaf were taken per plot. Root FW (gr.), root length (cm) and No. of lateral roots—one plant per plot (5 repeated plots) were selected for measurement of root weight, root length and for counting the number of lateral roots formed. Shoot FW (fresh weight)—weight of one plant per plot were recorded at different time-points. Grain N (H)—% N content of dry matter in the grain at harvest. Head N (GF)—% N content of dry matter in the head at grainfilling. Total shoot N—calculated as the % N content multiplied by the weight of plant shoot Total grain N—calculated as the % N content multiplied by the weight of plant grain yield. NUE [kg/kg]—is the ratio between total grain yield per total N applied in soil. NUpE [kg/kg]—is the ratio between total plant biomass per total N applied in soil. Grain NUtE—is the ratio between grain yield per total shoot N. Total NUtE—is the ratio between grain and shoot biomass per total shoot N. Stem Volume of lower stem—the calculated volume of the lowest internode. Stem Volume of upper stem—the calculated volume of the internode just below the head. Stem density—is the ratio between internode dry weight and internode volume.

Maintenance of performance under low N conditions—Represent ratio for the specified parameter of low N condition results divided by Normal conditions results (maintenance of phenotype under low N in comparison to normal conditions).

Data parameters collected are summarized in Tables 58-59 herein below

TABLE 58 Foxtail millet correlated parameters under normal conditions (vectors) Correlation set Correlation ID Grain N (H) [%] 1 Grains Yield per plant (RP) [gr] 2 Grains yield (RP) [gr] 3 Head N (GF) [%] 4 Heads FW (RP) [gr] 5 Heads FW (SP) [gr] 6 Heads num (SP) 7 Heads weight (RP) [gr] 8 Heads weight (SP) [gr] 9 Heads weight per plant (RP) [gr] 10 Leaves num 1 11 Leaves num 2 12 Leaves num 3 13 Leaves num 4 14 Leaves temperature 1[C] 15 Leaves temperature 2 [C] 16 Lower Stem DW (F) [gr] 17 Lower Stem FW (F) [gr] 18 Lower Stem length (F) [cm] 19 Lower Stem width (F) [cm] 20 Lower stem DW/cm [gr/cm] 21 Lower stem density [gr/cm³] 22 NUE 23 NHI 24 NUpE 25 Num days to Heading (field) 26 Num days to Maturity [days] 27 Num lateral roots 28 Plant height growth[cm/day] 29 Plant height 1 [cm] 30 Plant height 2 [cm] 31 Plant height 3[cm] 32 Plant height 4 [cm] 33 Plant num at harvest 34 Plant weight growth [gr/day] 35 Root length [cm] 36 SPAD (F) 37 SPAD 1 38 SPAD 2 39 Shoot DW 1 [gr] 40 Shoot DW 2 [gr] 41 Shoot DW 3 [gr] 42 Shoot N (H) [%] 43 Tillering 1 44 Tillering 2 45 Tillering 3 46 Total grain N (H) [mg] 47 Total shoot N (H) [mg] 48 Upper Stem DW (F) [gr] 49 Upper Stem FW (F) [gr] 50 Upper Stem length (F) [cm] 51 Upper Stem width (F) [cm] 52 Upper stem DW/cm [gr/cm] 53 Upper stem density [gr/cm³] 54 Vegetative DW (RP) [gr] 55 Vegetative DW (SP) [gr] 56 Vegetative DW per plant[gr] 57 Vegetative FW (RP) [gr] 58 Vegetative FW (SP) [gr] 59 grain NUtE 60 lower stem volume (F) [cm³] 61 total NUtE 62 upper stem volume [cm³] 63 Provided are the foxtail millet collected parameters under normal conditions. “num” = number.

TABLE 59 Foxtail millet correlated parameters under low N conditions (vectors) Correlation set Correlation ID Grain N (H) [%] 1 Grain N (H) NUE ratio 2 Grains Yield per plant (RP) [gr] 3 Grains Yield per plant (RP) NUE ratio 4 Grains yield (RP) [gr] 5 Head N (GF) [%] 6 Head N (GF) NUE ratio 7 Heads FW (RP) [gr] 8 Heads FW (SP) [gr] 9 Heads num (SP) 10 Heads num (SP) NUE ratio 11 Heads weight (RP) [gr] 12 Heads weight (SP) [gr] 13 Heads weight per plant (RP) [gr] 14 Heads weight per plant (RP) NUE ratio 15 Leaves num 1 16 Leaves num 2 17 Leaves num 3 18 Leaves num 4 19 Leaves num 4 NUE ratio 20 Leaves temperature 1[C] 21 Leaves temperature 2[C] 22 Lower Stem DW (F) [gr] 23 Lower Stem FW (F) [gr] 24 Lower Stem length (F) [cm] 25 Lower Stem width (F) [cm] 26 Lower stem DW/cm [gr/cm] 27 Lower stem DW/cm NUE ratio 28 Lower stem density [gr/cm³] 29 Lower stem density NUE ratio 30 NUE 31 NUE NUE ratio 32 NUI 33 NUI NUE ratio 34 NUpE 35 NUpE NUE ratio 36 Num days to Heading (field) 37 Num days to Heading NUE ratio (field) 38 Num days to Maturity 39 Num lateral roots 40 Num lateral roots NUE ratio 41 Plant height growth [cm/day] 42 Plant height growth NUE ratio 43 Plant height 1 [cm] 44 Plant height 2 [cm] 45 Plant height 3 [cm] 46 Plant height 4 [cm] 47 Plant height 4 NUE ratio 48 Plant num at harvest 49 Plant weight growth [gr/day] 50 Plant weight growth NUE ratio 51 Root length [cm] 52 Root length NUE ratio 53 SPAD (F) 54 SPAD (F) NUE ratio 55 SPAD 1 56 SPAD 2 57 Shoot C (H) [%] 58 Shoot DW 1 [gr] 59 Shoot DW 2 [gr] 60 Shoot DW 3 [gr] 61 Shoot DW 3 NUE ratio 62 Shoot N (H) [%] 63 Shoot N (H) NUE ratio 64 Tillering 1 65 Tillering 2 66 Tillering 3 67 Tillering 3 NUE ratio 68 Total grain N (H) [mg] 69 Total grain N (H) NUE ratio 70 Total shoot N (H) [mg] 71 Total shoot N (H) NUE ratio 72 Upper Stem DW (F)[gr] 73 Upper Stem FW (F) [gr] 74 Upper Stem length (F) [cm] 75 Upper Stem width (F) [cm] 76 Upper stem DW/cm [gr/cm] 77 Upper stem DW/cm NUE ratio 78 Upper stem density [gr/cm3] 79 Upper stem density NUE ratio 80 Vegetative DW (RP) [gr] 81 Vegetative DW (SP) [gr] 82 Vegetative DW per plant [gr] 83 Vegetative DW per plant NUE ratio 84 Vegetative FW (RP) [gr] 85 Vegetative FW (SP) [gr] 86 grain NUtE 87 grain NUtE NUE ratio 88 lower stem volume (F) 89 lower stem volume (F) NUE ratio 90 shoot C/N (H) 91 shoot C/N (H) NUE ratio 92 total NUtE 93 total NUtE NUE ratio 94 upper stem volume [cm3] 95 upper stem volume NUE ratio 96 Provided are the foxtail millet collected parameters under low N conditions.

Experimental Results

Fourteen different foxtail millet accessions were grown and characterized for different parameters as described above. The average for each of the measured parameters was calculated using the JMP software and values are summarized in Tables 60-61 below. Subsequent correlation analysis between the various transcriptome sets and the average parameters was conducted. Follow, results were integrated to the database.

TABLE 60 Measured parameters of correlation IDs in foxtail millet accessions under normal conditions Cor. Line ID L-1 L-2 L-3 L-4 L-5 L-6 L-7 L-8 L-9 L-10 L-11 L-12 L-13 L-14 1 1.77 2.36 NA 1.98 2.07 2.13 2.13 NA 1.79 3.05 NA 1.85 NA 1.97 2 34.71 23.00 24.84  31.07 26.64 28.32 34.92 26.40  48.35 22.35  9.38 31.53 30.10  29.98 3 1086.00 679.20 727.60  797.60 792.40 856.80 902.80 803.60  1120.80 584.40  268.00 818.80 800.80  818.40 4 1.72 2.21 NA 2.30 1.97 2.07 2.45 NA 1.93 1.81 NA 2.17 NA 2.26 5 1.80 1.12 1.07 1.34 1.32 1.11 1.36 1.16 1.69 1.44 0.57 1.13 1.23 1.27 6 0.24 0.17 0.18 0.27 0.21 0.23 0.28 0.25 0.39 0.25 0.13 0.25 0.31 0.29 7 7.20 94.00 87.60  295.40 114.00 122.40 29.80 129.20  11.00 13.20  53.60 32.80 60.60  323.20 8 1.31 0.87 0.89 1.07 1.02 0.98 1.10 0.98 1.29 1.03 0.42 1.00 0.99 1.02 9 0.18 0.10 0.12 0.24 0.21 0.23 0.22 0.24 0.30 0.18 0.10 0.22 0.24 0.23 10 41.78 29.33 30.26  41.57 34.38 32.52 41.81 32.10  60.61 39.91  14.61 38.41 37.47  37.42 11 4.07 5.33 4.13 5.07 5.00 4.27 3.67 3.77 3.79 3.73 4.00 3.90 4.03 5.23 12 NA NA NA NA NA NA NA NA NA NA NA NA NA NA 13 5.30 2.90 2.94 3.55 3.90 4.13 4.40 4.10 3.90 4.35 3.25 3.30 3.75 3.70 14 7.90 4.70 4.50 5.30 6.55 6.35 7.15 7.00 6.65 5.90 4.80 5.20 5.20 9.25 15 NA NA NA 27.70 28.02 28.35 28.23 27.96  NA NA NA NA NA 27.54 16 30.18 NA NA NA NA NA NA NA 30.92 NA NA NA NA NA 17 0.71 NA 0.30 0.16 0.15 0.20 0.61 0.17 0.86 NA NA 0.55 0.93 0.09 18 4.21 NA 1.43 0.69 0.64 0.64 2.50 0.76 3.13 NA NA 3.64 5.49 0.39 19 8.35 NA 10.25  8.75 6.69 7.64 8.08 7.15 9.15 NA NA 10.18 12.26  8.98 20 7.24 NA 4.16 3.12 3.33 3.18 5.57 3.61 6.95 NA NA 6.23 6.75 2.24 21 0.08 NA 0.03 0.02 0.02 0.03 0.08 0.02 0.09 NA NA 0.05 0.08 0.01 22 0.21 NA 0.22 0.23 0.26 0.33 0.31 0.23 0.25 NA NA 0.18 0.21 0.24 23 1.83 1.21 1.31 1.64 1.40 1.49 1.84 1.39 2.54 1.18 0.49 1.66 1.58 1.58 24 0.91 0.87 NA 0.93 0.92 0.93 0.93 NA 0.93 0.88 NA 0.90 NA 0.87 25 35.54 32.85 NA 34.72 31.40 33.90 41.82 NA 48.90 40.60  0.00 34.04 NA 35.90 26 54.00 63.40 59.40  39.60 46.00 40.80 50.00 39.00  54.00 71.00  61.00 63.00 61.00  42.00 27 NA NA NA NA 75.00 75.00 NA 75.00  NA 98.00  109.00 98.00 98.00  NA 28 NA NA NA NA NA NA NA NA NA NA NA NA NA NA 29 2.10 1.42 1.32 2.10 1.93 2.44 1.84 2.56 1.91 0.97 1.16 1.35 1.50 2.12 30 3.72 2.92 3.25 3.55 3.45 3.68 2.92 3.63 4.12 2.47 3.10 3.58 3.43 3.63 31 NA NA NA NA NA NA NA NA NA NA NA NA NA NA 32 26.63 17.68 18.00  25.83 23.35 28.60 21.53 30.53  26.03 16.78  17.80 19.53 20.75  24.55 33 45.98 31.80 29.75  46.08 42.88 53.63 40.68 55.63  42.10 20.53  25.75 30.30 33.30  47.31 34 31.40 29.60 29.80  26.00 30.00 30.20 27.75 30.75  23.60 26.00  29.40 26.20 27.00  27.40 35 2.85 3.12 5.11 4.35 2.87 3.11 2.93 3.40 4.79 3.15 3.41 3.12 2.04 4.51 36 NA NA NA NA NA NA NA NA NA NA NA NA NA NA 37 60.82 NA NA 54.68 49.93 57.47 58.59 55.40  55.04 NA NA NA NA 55.90 38 NA NA NA 54.68 49.93 57.47 58.59 55.40  NA NA NA NA NA 55.90 39 60.82 NA NA NA NA NA NA NA 55.04 NA NA NA NA NA 40 12.75 19.52 14.43  20.70 20.63 21.01 14.01 18.80  14.17 11.62  19.62 18.36 10.81  17.13 41 57.06 65.70 54.29  59.78 60.76 71.99 53.98 71.68  87.55 52.63  52.33 77.31 63.50  66.48 42 88.87 97.87 162.66  135.96 100.39 103.33 97.31 118.42  142.38 98.23  116.82 103.25 72.94  143.65 43 1.87 1.52 NA 1.78 1.99 1.79 1.63 NA 1.53 1.21 NA 1.23 NA 2.60 44 NA NA NA NA NA NA NA NA NA NA NA NA NA NA 45 1.06 21.15 16.75  34.30 17.15 10.85 3.29 11.81  2.20 3.00 9.50 6.80 4.45 39.10 46 1.40 10.30 7.60 10.70 6.40 9.20 2.22 4.67 2.70 3.50 6.50 5.80 6.80 16.70 47 612.84 543.69 NA 613.75 551.78 602.01 742.76 NA 865.05 682.14  NA 583.65 NA 590.90 48 62.40 80.47 NA 45.88 44.79 42.05 51.85 NA 64.03 89.22  NA 63.05 NA 91.27 49 0.81 NA 0.24 0.24 0.14 0.21 0.32 0.53 0.41 NA NA 0.37 0.77 0.08 50 3.24 NA 0.48 0.67 0.43 0.50 1.28 0.93 1.49 NA NA 0.68 0.89 0.21 51 33.67 NA 17.66  36.25 19.60 27.88 26.18 38.74  24.47 NA NA 21.93 16.47  21.90 52 3.68 NA 1.78 1.51 1.59 1.50 2.55 1.90 3.19 NA NA 1.92 2.70 0.97 53 0.02 NA 0.01 0.01 0.01 0.01 0.01 0.01 0.02 NA NA 0.02 0.05 0.00 54 0.23 NA 0.55 0.38 0.35 0.42 0.24 0.48 0.21 NA NA 0.59 0.82 0.51 55 1.06 1.56 1.17 0.67 0.67 0.71 0.87 0.58 0.98 1.91 2.80 1.34 1.53 0.88 56 0.13 0.23 0.21 0.11 0.11 0.13 0.16 0.12 0.18 0.34 0.57 0.29 0.44 0.18 57 33.35 52.77 41.10  25.80 22.52 23.54 31.90 18.93  41.96 73.71  101.16 51.45 57.70  35.07 58 3.19 3.85 2.78 1.98 2.15 1.57 2.19 1.68 2.42 5.52 5.17 3.34 3.63 2.05 59 0.45 0.57 0.53 0.39 0.27 0.37 NA 0.37 0.58 0.97 1.10 0.71 1.04 0.44 60 0.56 0.29 NA 0.68 0.59 0.67 0.67 NA 0.76 0.25 NA 0.50 NA 0.33 61 3.44 NA 1.39 0.67 0.58 0.61 1.97 0.73 3.47 NA NA 3.10 4.38 0.35 62 0.10 0.12 NA 0.09 0.08 0.08 0.08 NA 0.10 0.12 NA 0.13 NA 0.10 63 3.57 NA 0.44 0.65 0.39 0.49 1.34 1.10 1.96 NA NA 0.64 0.94 0.16 Table 60: Provided are the values of each of the parameters (as described in Table 58 above) measured in Foxtail millet accessions (lines; “L”) under normal growth conditions. Growth conditions are specified in the experimental procedure section. “NA” = not available.

TABLE 61 Additional measured parameters of correlation IDs in foxtail millet accessions under low N Cor. Line ID L-1 L-2 L-3 L-4 L-5 L-6 L-7 L-8 1 NA 2.03 1.86 1.60 1.59 1.97 NA 2.26 2 NA 0.86 NA 0.81 0.77 0.93 NA NA 3 29.85  20.46 34.44  29.75 22.31 23.02 22.59  20.66  4 0.86 0.89 1.39 0.96 0.84 0.81 0.65 0.78 5 936.40  622.80 923.60  819.50 726.80 683.50 622.80  636.50  6 NA 1.97 1.84 1.20 1.64 1.23 NA 1.91 7 NA 0.89 NA 0.52 0.8.3 0.59 NA NA 8 1.60 1.01 1.38 1.42 1.14 0.89 0.97 0.98 9 0.25 0.16 0.22 0.26 0.15 0.18 0.19 0.17 10 8.20 57.00 64.60  214.00 69.20 117.75 31.80  99.20  11 1.14 0.61 0.74 0.72 0.61 0.96 1.07 0.77 12 1.18 0.81 1.17 1.06 0.88 0.77 0.76 0.78 13 0.18 0.16 0.18 0.23 0.17 0.19 0.14 0.18 14 37.59  26.53 37.22  38.71 26.98 25.86 27.61  25.30  15 0.90 0.90 1.23 0.93 0.78 0.80 0.66 0.79 16 4.27 2.60 2.80 2.53 2.60 2.28 3.57 3.00 17 NA NA NA NA NA NA NA NA 18 5.90 3.45 3.20 3.50 3.95 4.15 4.90 5.00 19 6.50 3.65 3.15 3.90 3.75 5.05 6.15 5.20 20 0.82 0.78 0.70 0.74 0.57 0.80 0.86 0.74 21 NA NA NA 26.30 27.09 27.81 27.65  27.92  22 30.83  NA NA NA NA NA NA NA 23 0.99 NA 0.30 0.18 0.14 0.25 0.55 0.16 24 3.57 NA 1.50 0.68 0.54 0.94 1.93 0.54 25 6.81 NA 10.46  8.34 6.76 7.46 6.44 7.16 26 6.85 NA 3.89 2.96 3.19 3.18 5.08 3.11 27 0.15 NA 0.03 0.02 0.02 0.03 0.09 0.02 28 1.72 NA 0.96 1.21 0.93 1.28 1.14 0.96 29 0.40 NA 0.24 0.31 0.26 0.42 0.42 0.30 30 1.92 NA 1.09 1.35 1.01 1.28 1.38 1.30 31 29.85  20.46 34.44  29.75 22.31 23.02 22.59  20.66  32 16.34  16.90 26.34  18.19 15.91 15.45 12.29  14.87  33 NA 0.89 0.93 0.92 0.93 0.94 NA 0.95 34 NA 1.03 NA 0.99 1.01 1.00 NA NA 35 NA 464.77 688.20  516.07 380.02 484.90 NA 493.50  36 NA 14.15 NA 14.87 12.10 14.30 NA NA 37 54.00  64.00 58.60  40.40 46.00 41.60 51.60  39.00  38 1.00 1.01 0.99 1.02 1.00 1.02 1.03 1.00 39 90.00  90.00 90.00  NA 75.00 NA NA 75.00  40 NA NA NA NA NA NA NA NA 41 NA NA NA NA NA NA NA NA 42 1.64 1.00 1.01 1.81 1.50 1.88 1.38 2.10 43 0.78 0.70 0.77 0.86 0.77 0.77 0.75 0.82 44 4.21 3.76 3.72 3.87 4.27 4.19 3.43 3.72 45 NA NA NA NA NA NA NA NA 46 22.50  13.98 16.20  23.93 20.95 25.05 17.78  24.19  47 37.08  24.13 23.55  40.30 34.33 41.91 31.38  47.50  48 0.81 0.76 0.79 0.87 0.80 0.78 0.77 0.85 49 31.40  31.00 28.60  27.50 32.40 30.00 28.20  30.80  50 2 21 3.42 3.31 2.21 2.83 3.79 1.75 2.18 51 0.77 1.10 0.65 0.51 0.98 1.22 0.60 0.64 52 NA NA NA NA NA NA NA NA 53 NA NA NA NA NA NA NA NA 54 58.57  35.92 39.05  48.28 40.65 52.33 59.10  52.85  55 0.96 NA NA 0.88 0.81 0.91 1.01 0.95 56 57.92  35.92 39.05  48.28 40.65 52.33 59.10  52.85  57 60.61  NA NA NA NA NA NA NA 58 NA 38.88 37.86  38.46 37.79 32.51 NA 38.37  59 11.04  8.18 9.42 14.44 13.46 14.92 8.04 12.85  60 54.66  53.94 70.22  67.83 76.02 85.68 48.28  64.02  61 67.28  101.45 95.21  66.74 84.32 100.27 55.05  65.93  62 0.76 1.04 0.59 0.49 0.84 0.97 0.57 0.56 63 NA 1.38 1.28 1.86 1.68 1.61 NA 1.73 64 NA 0.90 NA 1.05 0.85 0.90 NA NA 65 NA NA NA NA NA NA NA NA 66 1.05 10.95 12.35  22.60 14.00 10.60 1.60 8.45 67 1.30 9.10 8.25 17.00 8.10 12.25 2.20 5.40 68 0.93 0.88 1.09 1.59 1.27 1.33 0.99 1.16 69 NA 415.32 640.96  475.71 353.87 453.77 NA 466.84  70 NA 0.76 NA 0.78 0.64 0.75 NA NA 71 NA 49.45 47.24  40.36 26.15 31.13 NA 26.66  72 NA 0.61 NA 0.88 0.58 0.74 NA NA 73 0.75 NA 0.31 0.18 0.18 0.25 0.51 0.34 74 2.65 NA 0.59 0.54 0.49 0.55 1.57 0.72 75 29.08  NA 20.07  34.93 26.95 32.65 28.31  38.64  76 3.29 NA 1.71 1.34 1.53 1.54 2.58 1.72 77 0.03 NA 0.02 0.01 0.01 0.01 0.02 0.01 78 1.08 NA 1.14 0.77 0.97 1.04 1.47 0.64 79 0.30 NA 0.68 0.37 0.37 0.42 0.35 0.38 80 1.35 NA 1.23 0.99 1.06 0.99 1.44 0.78 81 0.97 1.11 1.14 0.59 0.51 0.58 0.56 0.47 82 0.13 0.16 0.18 0.11 0.08 0.12 0.11 0.08 83 30.75  35.92 36.87  21.66 15.54 19.35 20.21  15.38  84 0.92 0.68 0.90 0.84 0.69 0.82 0.63 0.81 85 3.03 2.55 2.86 2.22 1.97 1.21 1.37 1.35 86 0.39 0.36 0.44 0.38 0.19 0.32 NA 0.24 87 NA 0.41 0.73 0.74 0.85 0.74 NA 0.77 88 NA 1.45 NA 1.09 1.43 1.10 NA NA 89 2.51 NA 1.24 0.57 0.54 0.59 1.30 0.54 90 0.73 NA 0.89 0.86 0.93 0.98 0.66 0.74 91 NA 28.24 29.55  20.64 22.45 20.20 NA 22.14  92 NA 1.02 NA 0.90 1.14 1.01 NA NA 93 NA 0.12 0.10 0.10 0.10 0.09 NA 0.07 94 NA 1.00 NA 1.16 1.21 1.09 NA NA 95 2.46 NA 0.46 0.49 0.49 0.60 1.48 0.89 96 0.69 NA 1.05 0.75 1.26 1.23 1.11 0.81 Cor. Line ID L-9 L-10 L-11 L-12 L-13 L-14 1 1.43 1.76 NA 1.81 NA 1.94 2 0.80 0.58 NA 0.98 NA 0.98 3 37.09 25.39 20.97 33.96 34.85  26.22 4 0.77 1.14 2.24 1.08 1.16 0.87 5 944.00 693.60 644.80  866.40 896.00  662.50 6 1.92 1.71 NA 2.10 NA 2.13 7 1.00 0.95 NA 0.97 NA 0.94 8 1.52 1.48 0.99 1.15 1.28 0.98 9 0.31 0.28 0.15 0.27 0.30 0.23 10 7.00 14.60 30.80  28.80 68.20  215.25 11 0.64 1.11 0.57 0.88 1.13 0.67 12 1.14 1.07 0.80 1.01 1.09 0.82 13 0.24 0.21 0.12 0.24 0.26 0.17 14 45.06 39.26 26.08  39.72 42.38  32.67 15 0.74 0.98 1.78 1.03 1.13 0.87 16 3.40 3.83 2.90 3.07 3.37 3.20 17 NA NA NA NA NA NA 18 3.95 4.45 3.55 3.75 3.80 3.35 19 4.75 5.15 3.20 3.65 4.30 3.30 20 0.71 0.87 0.67 0.70 0.83 0.36 21 NA NA NA NA NA 27.18 22 30.61 NA NA NA NA NA 23 0.96 NA NA 0.48 0.94 0.08 24 2.98 NA NA 3.93 4.39 0.30 25 8.50 NA NA 9.94 11.84  8.67 26 6.43 NA NA 6.52 6.08 2.13 27 0.11 NA NA 0.05 0.08 0.01 28 1.19 NA NA 0.89 1.04 0.96 29 0.35 NA NA 0.14 0.27 0.26 30 1.39 NA NA 0.81 1.28 1.06 31 37.09 25.39 20.97  33.96 34.85  26.22 32 14.57 21.58 42.49  20.47 22.00  16.62 33 0.93 0.86 NA 0.93 NA 0.90 34 0.99 0.97 NA 1.03 NA 1.04 35 572.76 517.93 0.00 661.86 NA 565.17 36 11.71 12.76 NA 19.45 NA 15.74 37 55.40 72.40 61.00  62.20 62.40  42.80 38 1.03 1.02 1.00 0.99 1.02 1.02 39 90.00 98.00 109.00  98.00 98.00  NA 40 NA NA NA NA NA NA 41 NA NA NA NA NA NA 42 1.47 0.84 0.83 1.10 1.18 1.25 43 0.77 0.87 0.72 0.82 0.79 0.59 44 4.66 3.11 3.57 4.01 3.75 3.48 45 NA NA NA NA NA NA 46 20.66 15.06 14.03  17.68 17.45  19.18 47 32.75 18.23 19.80  25.63 27.18  27.95 48 0.78 0.89 0.77 0.85 0.82 0.59 49 25.20 27.60 30.60  26.80 26.60  25.50 50 2.52 2.71 2.37 2.63 4.09 3.44 51 0.53 0.86 0.70 0.84 2.01 0.76 52 NA NA NA NA NA NA 53 NA NA NA NA NA NA 54 52.22 43.76 36.61  38.74 46.16  45.38 55 0.95 NA NA NA NA 0.81 56 52.32 43.76 36.61  38.74 46.16  45.38 57 52.50 NA NA NA NA NA 58 36.93 38.18 NA 37.44 NA 39.40 59 7.88 5.62 9.90 8.69 7.61 12.70 60 54.78 47.98 34.78  40.28 61.96  92.38 61 74.17 69.47 76.90  81.10 118.81  94.59 62 0.52 0.71 0.66 0.79 1.63 0.66 63 1.47 1.20 NA 1.05 NA 1.96 64 0.97 0.99 NA 0.85 NA 0.75 65 NA NA NA NA NA NA 66 1.20 2.20 7.80 4.90 7.56 26.95 67 1.90 3.30 6.11 4.00 8.60 20.63 68 0.70 0.94 0.94 0.69 1.26 1.24 69 529.91 446.46 NA 614.57 NA 508.79 70 0.61 0.65 NA 1.05 NA 0.86 71 42.84 71.47 NA 47.29 NA 56.38 72 0.67 0.80 NA 0.75 NA 0.62 73 0.51 NA NA 0.68 0.76 0.09 74 1.53 NA NA 0.90 1.34 0.20 75 22.29 NA NA 27.17 18.07  26.91 76 2.82 NA NA 2.00 2.57 0.90 77 0.02 NA NA 0.03 0.04 0.00 78 1.35 NA NA 1.48 0.90 0.87 79 0.36 NA NA 0.80 0.81 0.52 80 1.73 NA NA 1.37 0.99 1.01 81 0.74 1.74 2.39 1.17 1.53 0.74 82 0.13 0.33 0.35 0.28 0.38 0.13 83 29.06 59.54 76.55  45.18 59.12  28.72 84 0.69 0.81 0.76 0.88 1.02 0.82 85 1.99 4.55 4.37 2.75 2.67 1.43 86 0.43 0.87 0.64 0.65 0.80 0.33 87 0.87 0.36 NA 0.72 NA 0.47 88 1.15 1.42 NA 1.44 NA 1.42 89 2.76 NA NA 3.31 3.44 0.31 90 0.80 NA NA 1.07 0.78 0.88 91 25.05 31.81 NA 35.77 NA 20.08 92 1.00 1.00 NA 1.16 NA 1.28 93 0.12 0.16 NA 0.12 NA 0.10 94 1.19 1.32 NA 0.93 NA 1.02 95 1.39 NA NA 0.85 0.94 0.17 96 0.71 NA NA 1.34 1.00 1.06 Table 61: Provided are the values of each of the parameters (as described in Table 59 above) measured in Foxtail millet accessions (lines; “L”) under low N conditions. Growth conditions are specified in the experimental procedure section. “NA” = not available.

TABLE 62 Correlation between the expression level of selected genes of some embodiments of the invention in various tissues and the phenotypic performance under low nitrogen fertilization conditions across foxtail millet accessions Gene Exp. Cor. Gene Exp. Cor. Name R P value set Set ID Name R P value set Set ID WNU1 0.938 1.77E−03 3 34 WNU1 0.742 1.40E−02 3 4 WNU1 0.731 6.20E−02 3 2 WNU1 0.841 4.46E−03 3 25 WNU1 0.701 7.91E−02 3 92 WNU1 0.839 4.72E−03 3 79 WNU1 0.765 4.53E−02 3 36 WNU1 0.762 1.04E−02 3 15 WNU1 0.812 2.66E−02 3 70 WNU1 0.747 5.35E−02 3 88 WNU1 0.765 1.64E−02 3 71 WNU1 0.742 1.40E−02 3 32 WNU1 0.772 2.48E−02 8 91 WNU1 0.744 3.43E−02 8 93 WNU1 0.707 2.23E−02 9 81 WNU1 0.721 1.86E−02 9 83 WNU1 0.893 1.20E−03 9 71 WNU1 0.731 6.18E−02 9 39 WNU1 0.816 7.31E−03 1 90 WNU1 0.865 2.63E−03 1 79 WNU1 0.759 4.80E−02 1 36 WNU1 0.747 5.39E−02 1 70 WNU1 0.718 2.95E−02 1 96 WNU1 0.729 2.57E−02 1 91 WNU1 0.864 5.61E−03 4 90 WNU1 0.820 1.27E−02 4 79 WNU1 0.840 9.07E−03 4 96 WNU1 0.726 4.14E−02 4 88 WNU53 0.771 4.25E−02 3 34 WNU53 0.770 4.29E−02 3 7 WNU53 0.729 6.29E−02 3 2 WNU53 0.711 3.18E−02 3 6 WNU53 0.705 2.26E−02 3 82 WNU53 0.858 3.08E−03 3 79 WNU53 0.775 4.08E−02 3 36 WNU53 0.806 2.85E−02 3 70 WNU53 0.753 1.93E−02 3 91 WNU53 0.709 7.43E−02 8 25 WNU53 0.724 1.04E−01 8 92 WNU53 0.702 3.49E−02 8 60 WNU53 0.760 1.74E−02 8 15 WNU53 0.869 5.11E−03 8 63 WNU53 0.741 3.53E−02 8 91 WNU53 0.746 2.10E−02 8 66 WNU53 0.706 3.36E−02 9 73 WNU53 0.765 9.96E−03 9 16 WNU53 0.854 3.35E−03 9 76 WNU53 0.754 1.17E−02 9 18 WNU53 0.884 1.55E−03 9 95 WNU53 0.782 1.27E−02 9 23 WNU53 0.701 3.53E−02 9 26 WNU53 0.859 3.03E−03 9 27 WNU53 0.753 1.19E−02 9 19 WNU53 0.881 1.69E−03 9 74 WNU53 0.949 2.73E−05 1 4 WNU53 0.850 3.71E−03 1 25 WNU53 0.848 3.90E−03 1 79 WNU53 0.927 1.16E−04 1 15 WNU53 0.949 2.73E−05 1 32 WNU53 0.791 1.12E−02 1 91 WNU53 0.743 2.19E−02 1 69 WNU53 0.768 1.56E−02 1 35 WNU53 0.760 1.07E−02 4 4 WNU53 0.878 4.14E−03 4 25 WNU53 0.924 1.04E−03 4 79 WNU53 0.808 1.52E−02 4 36 WNU53 0.861 1.39E−03 4 15 WNU53 0.778 7.99E−03 4 42 WNU53 0.818 1.30E−02 4 70 WNU53 0.776 8.34E−03 4 47 WNU53 0.760 1.07E−02 4 32 WNU53 0.873 4.69E−03 4 75 WNU53 0.772 8.95E−03 4 46 WNU53 0.862 1.26E−02 2 34 WNU53 0.816 2.52E−02 2 2 WNU53 0.862 2.79E−03 2 25 WNU53 0.915 5.53E−04 2 79 WNU53 0.864 1.22E−02 2 36 WNU53 0.895 6.42E−03 2 70 WNU53 0.865 2.61E−03 2 69 WNU53 0.831 5.50E−03 2 35 WNU54 0.711 2.11E−02 3 38 WNU54 0.787 1.19E−02 3 75 WNU54 0.835 1.94E−02 3 72 WNU54 0.778 3.92E−02 8 73 WNU54 0.718 6.92E−02 8 76 WNU54 0.725 6.51E−02 8 28 WNU54 0.776 1.39E−02 8 20 WNU54 0.887 7.75E−03 8 30 WNU54 0.772 4.20E−02 8 95 WNU54 0.704 3.42E−02 8 86 WNU54 0.838 3.74E−02 8 64 WNU54 0.896 1.56E−02 8 55 WNU54 0.748 2.04E−02 8 11 WNU54 0.749 5.25E−02 8 74 WNU54 0.811 5.03E−02 8 72 WNU54 0.768 7.45E−02 8 39 WNU54 0.831 2.92E−03 9 67 WNU54 0.883 7.04E−04 9 10 WNU54 0.766 9.86E−03 9 60 WNU54 0.921 4.16E−04 9 63 WNU54 0.878 8.46E−04 9 66 WNU54 0.711 3.16E−02 1 73 WNU54 0.773 8.69E−03 1 16 WNU54 0.862 2.77E−03 1 76 WNU54 0.815 7.39E−03 1 28 WNU54 0.713 2.07E−02 1 12 WNU54 0.763 1.02E−02 1 8 WNU54 0.821 6.65E−03 1 30 WNU54 0.884 1.57E−03 1 95 WNU54 0.873 2.14E−03 1 23 WNU54 0.720 2.86E−02 1 77 WNU54 0.762 1.71E−02 1 26 WNU54 0.913 5.89E−04 1 27 WNU54 0.928 3.08E−04 1 74 WNU54 0.718 1.95E−02 1 5 WNU54 0.912 1.62E−03 4 25 WNU54 0.938 5.77E−04 4 79 WNU54 0.750 3.21E−02 4 36 WNU54 0.726 1.75E−02 4 15 WNU54 0.769 2.57E−02 4 70 WNU54 0.803 5.16E−03 2 9 WNU54 0.772 1.47E−02 2 76 WNU54 0.779 1.34E−02 2 89 WNU54 0.719 1.92E−02 2 14 WNU54 0.731 1.63E−02 2 37 WNU54 0.834 5.20E−03 2 23 WNU54 0.748 2.05E−02 2 77 WNU54 0.864 2.70E−03 2 80 WNU54 0.733 2.48E−02 2 24 WNU54 0.816 7.33E−03 2 26 WNU54 0.755 1.86E−02 2 78 WNU54 0.749 2.03E−02 2 27 WNU54 0.739 2.30E−02 2 93 WNU55 0.898 6.05E−03 3 34 WNU55 0.757 1.13E−02 3 62 WNU55 0.801 3.03E−02 3 88 WNU55 0.918 4.85E−04 8 81 WNU55 0.842 3.53E−02 8 7 WNU55 0.882 1.66E−03 8 85 WNU55 0.876 1.97E−03 8 83 WNU55 0.940 1.63E−04 8 37 WNU55 0.753 1.93E−02 8 4 WNU55 0.822 6.53E−03 8 82 WNU55 0.737 2.34E−02 8 86 WNU55 0.732 2.49E−02 8 15 WNU55 0.830 4.08E−02 8 88 WNU55 0.730 3.97E−02 8 71 WNU55 0.753 1.93E−02 8 32 WNU55 0.985 7.96E−06 8 91 WNU55 0.839 9.18E−03 8 93 WNU55 0.926 7.98E−03 8 39 WNU55 0.801 5.35E−03 9 81 WNU55 0.788 6.79E−03 9 85 WNU55 0.741 1.43E−02 9 83 WNU55 0.720 1.89E−02 9 86 WNU55 0.742 2.21E−02 9 71 WNU55 0.790 1.12E−02 9 93 WNU55 0.845 2.08E−03 1 81 WNU55 0.889 5.74E−04 1 83 WNU55 0.821 3.59E−03 1 37 WNU55 0.751 1.24E−02 1 4 WNU55 0.850 3.70E−03 1 25 WNU55 0.945 3.82E−05 1 82 WNU55 0.942 1.44E−04 1 79 WNU55 0.872 9.90E−04 1 86 WNU55 0.723 1.81E−02 1 15 WNU55 0.726 2.67E−02 1 71 WNU55 0.751 1.24E−02 1 32 WNU55 0.942 1.44E−04 1 91 WNU55 0.744 2.14E−02 1 93 WNU55 0.770 4.30E−02 1 39 WNU55 0.768 9.42E−03 4 37 WNU55 0.714 4.68E−02 4 25 WNU55 0.759 1.09E−02 4 91 WNU55 0.740 1.44E−02 2 67 WNU55 0.746 1.33E−02 2 10 WNU55 0.909 6.77E−04 2 1 WNU55 0.766 9.77E−03 2 66 WNU56 0.701 7.94E−02 3 36 WNU56 0.701 7.95E−02 3 70 WNU56 0.706 2.25E−02 3 19 WNU56 0.779 3.88E−02 8 73 WNU56 0.727 6.40E−02 8 76 WNU56 0.752 1.94E−02 8 56 WNU56 0.806 8.67E−03 8 18 WNU56 0.701 7.95E−02 8 30 WNU56 0.790 3.46E−02 8 95 WNU56 0.813 4.93E−02 8 2 WNU56 0.710 4.83E−02 8 1 WNU56 0.759 2.90E−02 8 33 WNU56 0.717 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5.44E−02 2 2 WNU74 0.742 5.61E−02 3 34 WNU73 0.774 4.09E−02 2 70 WNU74 0.764 4.58E−02 3 92 WNU74 0.714 7.15E−02 3 2 WNU74 0.823 2.30E−02 3 70 WNU74 0.794 3.30E−02 3 36 WNU74 0.788 3.51E−02 8 90 WNU74 0.860 2.93E−03 8 50 WNU74 0.848 3.27E−02 8 2 WNU74 0.908 7.07E−04 8 62 WNU74 0.898 1.00E−03 8 61 WNU74 0.836 1.92E−02 8 96 WNU74 0.784 3.69E−02 9 34 WNU74 0.944 1.28E−04 8 51 WNU74 0.717 2.98E−02 9 25 WNU74 0.825 2.24E−02 9 2 WNU74 0.923 2.99E−03 9 36 WNU74 0.859 3.02E−03 9 79 WNU74 0.736 1.53E−02 9 66 WNU74 0.932 2.21E−03 9 70 WNU74 0.794 3.32E−02 1 2 WNU74 0.705 2.27E−02 1 50 WNU74 0.710 2.15E−02 1 61 WNU74 0.762 1.71E−02 1 1 WNU74 0.804 1.63E−02 4 89 WNU74 0.885 3.47E−03 4 73 WNU74 0.754 3.07E−02 4 77 WNU74 0.701 5.27E−02 4 25 WNU74 0.773 2.44E−02 4 26 WNU74 0.797 1.79E−02 4 24 WNU74 0.742 5.64E−02 2 34 WNU74 0.722 1.05E−01 4 55 WNU74 0.830 2.08E−02 2 92 WNU74 0.712 7.27E−02 2 7 WNU74 0.776 8.33E−03 2 82 WNU74 0.852 3.54E−03 2 6 WNU74 0.754 5.05E−02 2 36 WNU74 0.761 1.72E−02 2 79 WNU74 0.907 4.85E−03 2 88 WNU74 0.736 5.94E−02 2 70 WNU74 0.703 3.47E−02 2 69 WNU74 0.741 2.24E−02 2 91 WNU74 0.714 3.06E−02 2 35 Table 62. “Corr. ID”—correlation set ID according to the correlated parameters Table 59 above. “Exp. Set”—Expression set. “R” = Pearson correlation coefficient; “P” = p value.

TABLE 63 Correlation between the expression level of selected genes of some embodiments of the invention in various tissues and the phenotypic performance under normal fertilization conditions across foxtail millet accessions Gene Exp. Cor. Gene Exp. Cor. Name R P value set Set ID Name R P value set Set ID WNU1 0.722 1.84E−02 3 35 WNU1 0.722 1.84E−02 3 42 WNU1 0.853 3.49E−03 2 29 WNU1 0.853 3.43E−03 2 33 WNU1 0.715 3.05E−02 2 30 WNU1 0.844 4.24E−03 2 40 WNU1 0.873 2.11E−03 2 32 WNU1 0.775 2.38E−02 11 1 WNU1 0.768 9.51E−03 11 56 WNU1 0.735 5.96E−02 9 52 WNU1 0.773 1.45E−02 12 62 WNU1 0.726 4.14E−02 12 54 WNU53 0.703 1.19E−01 8 41 WNU53 0.714 3.06E−02 4 7 WNU53 0.937 1.82E−03 4 54 WNU53 0.914 1.51E−03 3 4 WNU53 0.834 1.97E−02 2 4 WNU53 0.900 9.31E−04 5 46 WNU53 0.724 6.57E−02 5 20 WNU53 0.861 2.86E−03 5 7 WNU53 0.872 4.73E−03 5 4 WNU53 0.803 9.21E−03 5 45 WNU53 0.755 5.00E−02 5 53 WNU53 0.708 2.21E−02 11 29 WNU53 0.713 2.06E−02 11 33 WNU53 0.942 4.78E−04 11 43 WNU53 0.718 1.93E−02 11 7 WNU53 0.730 3.99E−02 11 19 WNU53 0.740 1.44E−02 1 26 WNU53 0.780 1.32E−02 1 19 WNU53 0.894 2.75E−03 1 62 WNU53 0.714 2.03E−02 1 56 WNU53 0.823 6.49E−03 9 46 WNU53 0.827 5.95E−03 9 29 WNU53 0.846 4.06E−03 9 33 WNU53 0.838 9.46E−03 9 43 WNU53 0.778 1.37E−02 9 7 WNU53 0.778 3.93E−02 9 19 WNU53 0.700 5.32E−02 9 4 WNU53 0.716 3.02E−02 9 45 WNU53 0.706 3.37E−02 9 59 WNU53 0.716 3.02E−02 12 47 WNU53 0.718 2.95E−02 12 25 WNU54 0.864 1.22E−02 4 49 WNU54 0.759 4.79E−02 4 20 WNU54 0.777 4.00E−02 4 52 WNU54 0.777 3.99E−02 4 61 WNU54 0.762 1.71E−02 4 55 WNU54 0.753 8.42E−02 4 37 WNU54 0.725 2.70E−02 4 58 WNU54 0.739 5.76E−02 4 21 WNU54 0.734 2.43E−02 4 26 WNU54 0.850 1.53E−02 4 63 WNU54 0.718 6.91E−02 4 19 WNU54 0.856 1.40E−02 4 50 WNU54 0.725 6.51E−02 4 17 WNU54 0.712 3.12E−02 4 62 WNU54 0.838 1.86E−02 4 53 WNU54 0.828 2.13E−02 4 18 WNU54 0.865 5.51E−03 3 48 WNU54 0.911 4.28E−03 2 20 WNU54 0.749 5.28E−02 2 52 WNU54 0.883 8.37E−03 2 61 WNU54 0.782 3.79E−02 2 21 WNU54 0.791 3.43E−02 2 17 WNU54 0.828 2.15E−02 2 53 WNU54 0.923 2.99E−03 2 18 WNU54 0.826 6.06E−03 5 46 WNU54 0.719 4.44E−02 5 43 WNU54 0.767 1.59E−02 5 7 WNU54 0.701 3.54E−02 5 14 WNU54 0.828 2.13E−02 11 37 WNU54 0.756 3.00E−02 11 19 WNU54 0.845 4.17E−03 1 49 WNU54 0.791 1.12E−02 1 52 WNU54 0.722 1.84E−02 1 8 WNU54 0.715 2.00E−02 1 13 WNU54 0.768 9.42E−03 1 5 WNU54 0.923 3.93E−04 1 63 WNU54 0.946 1.15E−04 1 50 WNU54 0.784 1.24E−02 1 53 WNU54 0.728 2.61E−02 9 46 WNU54 0.730 2.55E−02 9 11 WNU54 0.731 3.93E−02 9 43 WNU55 0.726 4.13E−02 3 1 WNU55 0.789 6.61E−03 3 40 WNU55 0.829 2.11E−02 2 1 WNU55 0.788 3.53E−02 2 54 WNU55 0.742 5.60E−02 5 20 WNU55 0.803 2.95E−02 5 52 WNU55 0.762 4.63E−02 5 61 WNU55 0.828 2.14E−02 5 21 WNU55 0.716 7.05E−02 5 63 WNU55 0.793 3.33E−02 5 17 WNU55 0.754 5.05E−02 5 53 WNU55 0.749 3.24E−02 11 1 WNU55 0.790 6.58E−03 11 55 WNU55 0.715 2.02E−02 11 58 WNU55 0.725 1.77E−02 11 57 WNU55 0.812 4.31E−03 11 26 WNU55 0.820 1.27E−02 11 62 WNU55 0.737 1.51E−02 11 56 WNU55 0.705 3.41E−02 11 59 WNU55 0.736 1.53E−02 1 55 WNU55 0.717 1.97E−02 1 57 WNU55 0.787 6.85E−03 1 26 WNU55 0.848 3.84E−03 1 19 WNU55 0.927 9.03E−04 1 62 WNU55 0.809 4.59E−03 1 56 WNU55 0.718 2.93E−02 1 59 WNU55 0.719 6.89E−02 9 49 WNU55 0.713 7.21E−02 9 20 WNU55 0.742 5.64E−02 9 52 WNU55 0.766 4.48E−02 9 61 WNU55 0.774 4.09E−02 9 21 WNU55 0.794 3.29E−02 9 63 WNU55 0.767 2.63E−02 9 47 WNU55 0.784 3.69E−02 9 50 WNU55 0.812 2.65E−02 9 17 WNU55 0.842 8.79E−03 9 25 WNU55 0.848 3.89E−03 12 1 WNU55 0.770 9.16E−03 12 55 WNU55 0.716 1.99E−02 12 58 WNU55 0.781 7.71E−03 12 57 WNU55 0.800 5.46E−03 12 56 WNU55 0.835 5.14E−03 12 59 WNU56 0.854 3.03E−02 8 41 WNU56 0.791 1.12E−02 4 29 WNU56 0.778 1.36E−02 4 33 WNU56 0.850 1.54E−02 4 22 WNU56 0.765 1.62E−02 4 32 WNU56 0.751 1.23E−02 3 30 WNU56 0.855 1.62E−03 3 14 WNU56 0.711 3.18E−02 3 51 WNU56 0.722 1.83E−02 3 32 WNU56 0.728 1.69E−02 3 9 WNU56 0.727 6.41E−02 2 24 WNU56 0.842 4.36E−03 2 29 WNU56 0.841 4.48E−03 2 33 WNU56 0.727 6.42E−02 2 22 WNU56 0.742 2.22E−02 2 32 WNU56 0.713 7.20E−02 5 54 WNU56 0.724 6.56E−02 5 18 WNU56 0.759 2.89E−02 1 24 WNU56 0.825 3.31E−03 1 29 WNU56 0.814 4.19E−03 1 33 WNU56 0.814 7.64E−03 1 22 WNU56 0.750 3.20E−02 1 60 WNU56 0.776 2.36E−02 1 4 WNU56 0.777 8.19E−03 1 32 WNU56 0.704 7.76E−02 9 54 WNU56 0.836 9.74E−03 12 52 WNU56 0.777 8.23E−03 12 2 WNU56 0.756 1.14E−02 12 29 WNU56 0.817 3.95E−03 12 8 WNU56 0.777 8.23E−03 12 23 WNU56 0.750 1.24E−02 12 33 WNU56 0.768 2.60E−02 12 21 WNU56 0.835 5.12E−03 12 60 WNU56 0.845 2.07E−03 12 30 WNU56 0.812 1.43E−02 12 63 WNU56 0.759 2.90E−02 12 50 WNU56 0.736 3.73E−02 12 17 WNU56 0.749 1.27E−02 12 32 WNU56 0.753 1.20E−02 12 9 WNU56 0.923 1.42E−04 12 3 WNU57 0.829 4.15E−02 8 14 WNU57 0.818 4.66E−02 8 34 WNU57 0.702 3.48E−02 2 29 WNU57 0.713 3.12E−02 5 29 WNU57 0.824 1.20E−02 5 43 WNU57 0.743 2.18E−02 5 14 WNU57 0.711 3.18E−02 5 32 WNU57 0.800 3.06E−02 9 22 WNU57 0.702 3.51E−02 9 14 WNU57 0.881 7.60E−04 12 29 WNU57 0.880 7.86E−04 12 33 WNU57 0.743 2.18E−02 12 43 WNU57 0.859 1.44E−03 12 32 WNU57 0.753 1.19E−02 12 34 WNU58 0.715 1.10E−01 8 6 WNU58 0.702 1.20E−01 8 8 WNU58 0.837 4.89E−03 5 46 WNU58 0.857 6.49E−03 5 43 WNU58 0.809 8.32E−03 5 7 WNU58 0.829 5.75E−03 5 14 WNU58 0.721 2.85E−02 5 45 WNU58 0.824 6.36E−03 1 49 WNU58 0.798 1.00E−02 1 51 WNU58 0.899 9.71E−04 9 46 WNU58 0.796 1.80E−02 9 43 WNU58 0.879 1.79E−03 9 7 WNU58 0.807 1.54E−02 9 4 WNU58 0.843 4.28E−03 9 45 WNU58 0.702 5.22E−02 12 49 WNU58 0.771 9.00E−03 12 29 WNU58 0.769 9.26E−03 12 33 WNU58 0.778 1.36E−02 12 43 WNU58 0.833 1.03E−02 12 51 WNU58 0.805 4.99E−03 12 32 WNU59 0.727 4.10E−02 12 18 WNU60 0.701 3.54E−02 4 29 WNU60 0.772 1.48E−02 4 43 WNU60 0.756 1.85E−02 4 14 WNU60 0.858 1.34E−02 2 1 WNU60 0.848 3.84E−03 2 55 WNU60 0.907 7.40E−04 2 58 WNU60 0.853 1.47E−02 2 48 WNU60 0.793 1.08E−02 2 57 WNU60 0.793 1.07E−02 2 26 WNU60 0.848 1.58E−02 2 62 WNU60 0.826 6.11E−03 2 56 WNU60 0.810 1.49E−02 2 59 WNU60 0.952 2.68E−04 11 43 WNU60 0.753 1.91E−02 1 49 WNU60 0.729 2.57E−02 1 52 WNU60 0.767 9.69E−03 1 8 WNU60 0.737 1.51E−02 1 5 WNU60 0.839 4.70E−03 1 63 WNU60 0.807 8.50E−03 1 50 WNU60 0.729 1.67E−02 1 3 WNU60 0.735 1.55E−02 12 29 WNU60 0.729 1.68E−02 12 33 WNU60 0.815 1.36E−02 12 51 WNU60 0.796 5.86E−03 12 34 WNU61 0.810 2.74E−02 4 49 WNU61 0.790 3.47E−02 4 20 WNU61 0.748 2.05E−02 4 29 WNU61 0.809 2.77E−02 4 61 WNU61 0.749 2.01E−02 4 33 WNU61 0.728 6.38E−02 4 63 WNU61 0.748 5.33E−02 4 50 WNU61 0.702 7.85E−02 4 17 WNU61 0.862 1.27E−02 4 53 WNU61 0.770 1.53E−02 4 3 WNU61 0.887 7.81E−03 4 18 WNU61 0.755 1.16E−02 3 34 WNU61 0.893 6.73E−03 2 62 WNU61 0.703 7.80E−02 5 20 WNU61 0.774 4.11E−02 5 52 WNU61 0.742 5.64E−02 5 53 WNU61 0.768 9.53E−03 1 29 WNU61 0.756 1.14E−02 1 33 WNU61 0.729 2.59E−02 1 51 WNU61 0.819 1.29E−02 1 4 WNU61 0.806 4.86E−03 1 32 WNU61 0.832 2.02E−02 9 49 WNU61 0.864 1.22E−02 9 20 WNU61 0.897 6.15E−03 9 52 WNU61 0.792 3.36E−02 9 61 WNU61 0.720 2.88E−02 9 55 WNU61 0.737 2.36E−02 9 58 WNU61 0.883 8.42E−03 9 21 WNU61 0.770 1.52E−02 9 57 WNU61 0.810 2.73E−02 9 63 WNU61 0.842 1.75E−02 9 50 WNU61 0.847 1.61E−02 9 17 WNU61 0.772 4.20E−02 9 53 WNU61 0.748 2.06E−02 9 56 WNU61 0.865 2.61E−03 9 59 WNU61 0.739 5.79E−02 9 18 WNU61 0.721 1.85E−02 12 46 WNU61 0.793 1.07E−02 12 1 WNU61 0.731 1.64E−02 12 11 WNU61 0.730 1.66E−02 12 57 WNU63 0.705 3.40E−02 4 55 WNU63 0.783 1.26E−02 4 58 WNU63 0.706 3.34E−02 4 48 WNU63 0.773 1.47E−02 4 57 WNU63 0.721 2.85E−02 4 26 WNU63 0.728 6.37E−02 4 63 WNU63 0.739 5.75E−02 4 50 WNU63 0.774 1.43E−02 4 56 WNU63 0.821 6.66E−03 4 59 WNU63 0.710 2.14E−02 3 6 WNU63 0.716 4.58E−02 3 48 WNU63 0.816 4.01E−03 3 57 WNU63 0.856 1.58E−03 3 14 WNU63 0.799 9.73E−03 3 19 WNU63 0.710 4.83E−02 3 62 WNU63 0.758 1.11E−02 3 56 WNU63 0.812 7.85E−03 3 59 WNU63 0.729 6.30E−02 2 20 WNU63 0.709 3.24E−02 2 55 WNU63 0.716 3.00E−02 2 58 WNU63 0.718 6.91E−02 2 21 WNU63 0.776 1.39E−02 2 57 WNU63 0.726 2.67E−02 2 26 WNU63 0.755 4.97E−02 2 17 WNU63 0.815 7.50E−03 2 56 WNU63 0.963 1.28E−04 2 59 WNU63 0.848 1.60E−02 5 20 WNU63 0.892 6.97E−03 5 61 WNU63 0.762 1.69E−02 5 55 WNU63 0.784 3.71E−02 5 21 WNU63 0.779 1.33E−02 5 57 WNU63 0.786 1.20E−02 5 26 WNU63 0.825 2.23E−02 5 17 WNU63 0.927 9.16E−04 5 62 WNU63 0.795 3.25E−02 5 53 WNU63 0.801 9.52E−03 5 56 WNU63 0.770 1.52E−02 5 59 WNU63 0.913 4.03E−03 5 18 WNU63 0.738 3.67E−02 11 1 WNU63 0.723 4.28E−02 11 49 WNU63 0.894 6.63E−03 11 37 WNU63 0.735 3.80E−02 11 50 WNU63 0.794 1.07E−02 1 49 WNU63 0.854 3.38E−03 1 20 WNU63 0.790 1.13E−02 1 52 WNU63 0.827 5.99E−03 1 61 WNU63 0.729 1.69E−02 1 55 WNU63 0.722 6.70E−02 1 37 WNU63 0.818 7.04E−03 1 21 WNU63 0.741 1.43E−02 1 5 WNU63 0.729 1.68E−02 1 57 WNU63 0.746 1.31E−02 1 26 WNU63 0.858 3.09E−03 1 63 WNU63 0.845 4.09E−03 1 50 WNU63 0.793 1.08E−02 1 17 WNU63 0.740 3.59E−02 1 62 WNU63 0.751 1.97E−02 1 53 WNU63 0.822 3.53E−03 1 56 WNU63 0.822 6.57E−03 1 59 WNU63 0.905 7.78E−04 1 18 WNU63 0.725 6.53E−02 9 20 WNU63 0.752 5.11E−02 9 61 WNU63 0.719 2.89E−02 9 41 WNU63 0.791 3.42E−02 9 18 WNU63 0.798 9.97E−03 12 1 WNU63 0.718 6.93E−02 12 37 WNU63 0.724 1.79E−02 12 58 WNU63 0.748 3.28E−02 12 19 WNU63 0.712 3.16E−02 12 62 WNU65 0.748 8.71E−02 8 26 WNU65 0.770 7.31E−02 8 55 WNU65 0.873 2.32E−02 8 13 WNU65 0.741 5.67E−02 4 52 WNU65 0.757 4.89E−02 4 21 WNU65 0.711 7.31E−02 4 17 WNU65 0.797 5.77E−03 3 55 WNU65 0.787 6.92E−03 3 58 WNU65 0.723 1.80E−02 3 26 WNU65 0.705 5.10E−02 3 62 WNU65 0.745 5.47E−02 2 24 WNU65 0.934 2.22E−04 2 29 WNU65 0.933 2.44E−04 2 55 WNU65 0.874 2.06E−03 2 58 WNU65 0.928 3.04E−04 2 33 WNU65 0.873 1.03E−02 2 43 WNU65 0.755 4.97E−02 2 60 WNU65 0.909 4.55E−03 2 48 WNU65 0.925 3.55E−04 2 57 WNU65 0.935 2.18E−04 2 26 WNU65 0.962 5.33E−04 2 19 WNU65 0.897 6.18E−03 2 51 WNU65 0.929 2.52E−03 2 62 WNU65 0.878 1.85E−03 2 32 WNU65 0.926 3.36E−04 2 56 WNU65 0.868 5.23E−03 2 59 WNU65 0.811 8.06E−03 5 6 WNU65 0.768 1.57E−02 5 8 WNU65 0.799 9.76E−03 5 14 WNU65 0.763 1.68E−02 5 9 WNU65 0.804 1.61E−02 11 1 WNU65 0.859 6.24E−03 11 54 WNU65 0.779 2.27E−02 1 1 WNU65 0.739 1.46E−02 1 55 WNU65 0.787 6.85E−03 1 58 WNU65 0.765 1.00E−02 1 26 WNU65 0.715 4.64E−02 1 62 WNU65 0.820 6.85E−03 1 54 WNU65 0.854 3.39E−03 9 6 WNU65 0.818 7.02E−03 9 8 WNU65 0.732 2.49E−02 9 10 WNU65 0.730 2.57E−02 9 5 WNU65 0.852 7.25E−03 9 48 WNU65 0.709 3.24E−02 9 14 WNU65 0.728 2.61E−02 9 32 WNU65 0.826 6.02E−03 9 9 WNU65 0.877 1.91E−03 12 1 WNU65 0.839 9.19E−03 12 20 WNU65 0.777 2.32E−02 12 52 WNU65 0.795 1.83E−02 12 61 WNU65 0.853 1.70E−03 12 55 WNU65 0.890 5.54E−04 12 58 WNU65 0.717 1.96E−02 12 7 WNU65 0.934 6.83E−04 12 21 WNU65 0.856 1.57E−03 12 57 WNU65 0.787 6.86E−03 12 26 WNU65 0.925 1.01E−03 12 17 WNU65 0.775 8.47E−03 12 56 WNU65 0.864 2.66E−03 12 59 WNU65 0.765 2.70E−02 12 18 WNU66 0.704 1.18E−01 8 46 WNU66 0.834 3.89E−02 8 11 WNU66 0.862 2.73E−02 8 45 WNU66 0.767 1.59E−02 4 48 WNU66 0.763 4.62E−02 4 19 WNU66 0.776 1.40E−02 3 22 WNU66 0.759 4.80E−02 2 19 WNU66 0.792 3.39E−02 2 62 WNU66 0.718 6.90E−02 2 54 WNU66 0.714 3.09E−02 5 46 WNU66 0.713 3.10E−02 5 29 WNU66 0.731 2.53E−02 5 33 WNU66 0.755 3.03E−02 5 43 WNU66 0.785 1.23E−02 5 7 WNU66 0.817 1.33E−02 11 1 WNU66 0.747 3.30E−02 11 49 WNU66 0.783 2.16E−02 11 20 WNU66 0.802 1.66E−02 11 52 WNU66 0.743 3.48E−02 11 61 WNU66 0.938 5.86E−05 11 55 WNU66 0.839 1.83E−02 11 37 WNU66 0.965 6.62E−06 11 58 WNU66 0.707 4.97E−02 11 21 WNU66 0.886 6.35E−04 11 57 WNU66 0.865 1.21E−03 11 26 WNU66 0.838 9.41E−03 11 63 WNU66 0.881 3.86E−03 11 50 WNU66 0.905 2.02E−03 11 62 WNU66 0.820 1.27E−02 11 53 WNU66 0.842 2.25E−03 11 56 WNU66 0.843 4.28E−03 11 59 WNU66 0.873 4.66E−03 11 18 WNU66 0.842 1.74E−02 1 37 WNU66 0.705 3.40E−02 1 19 WNU66 0.798 3.17E−02 9 19 WNU66 0.792 1.10E−02 12 43 WNU67 0.756 8.20E−02 8 11 WNU67 0.860 2.80E−02 8 45 WNU67 0.865 2.61E−02 8 35 WNU67 0.802 5.47E−02 8 7 WNU67 0.785 6.43E−02 8 42 WNU67 0.797 1.00E−02 4 13 WNU67 0.837 3.76E−02 4 37 WNU67 0.737 5.87E−02 4 63 WNU67 0.712 3.15E−02 4 14 WNU67 0.750 5.24E−02 4 50 WNU67 0.853 1.69E−03 3 29 WNU67 0.860 1.43E−03 3 33 WNU67 0.707 2.23E−02 3 32 WNU67 0.705 3.39E−02 2 46 WNU67 0.712 7.24E−02 2 48 WNU67 0.861 1.28E−02 2 62 WNU67 0.807 8.59E−03 2 45 WNU67 0.948 1.17E−03 2 54 WNU67 0.840 1.80E−02 5 51 WNU67 0.716 1.99E−02 1 40 WNU67 0.757 1.81E−02 1 54 WNU67 0.720 2.86E−02 9 11 WNU67 0.749 2.02E−02 9 40 WNU67 0.704 3.41E−02 9 34 WNU68 0.784 6.48E−02 8 13 WNU68 0.716 1.10E−01 8 58 WNU68 0.815 4.84E−02 8 5 WNU68 0.902 8.73E−04 4 55 WNU68 0.839 4.74E−03 4 58 WNU68 0.795 1.04E−02 4 48 WNU68 0.911 6.40E−04 4 57 WNU68 0.869 2.36E−03 4 26 WNU68 0.898 6.02E−03 4 19 WNU68 0.898 1.01E−03 4 62 WNU68 0.856 3.21E−03 4 56 WNU68 0.858 3.05E−03 4 59 WNU68 0.756 1.85E−02 2 55 WNU68 0.758 4.85E−02 2 48 WNU68 0.803 9.16E−03 2 57 WNU68 0.823 6.48E−03 2 26 WNU68 0.929 2.52E−03 2 19 WNU68 0.864 1.22E−02 2 62 WNU68 0.804 9.06E−03 2 56 WNU68 0.737 3.71E−02 2 59 WNU68 0.767 4.40E−02 5 19 WNU68 0.742 5.63E−02 5 18 WNU68 0.835 9.92E−03 11 1 WNU68 0.807 4.77E−03 11 55 WNU68 0.751 1.23E−02 11 58 WNU68 0.819 3.77E−03 11 57 WNU68 0.728 1.69E−02 11 26 WNU68 0.851 1.81E−03 11 56 WNU68 0.917 5.04E−04 11 59 WNU68 0.920 1.65E−04 1 55 WNU68 0.838 2.45E−03 1 58 WNU68 0.893 5.06E−04 1 57 WNU68 0.863 1.32E−03 1 26 WNU68 0.824 6.36E−03 1 19 WNU68 0.961 1.47E−04 1 62 WNU68 0.941 4.80E−05 1 56 WNU68 0.890 1.31E−03 1 59 WNU68 0.795 3.27E−02 9 49 WNU68 0.809 2.75E−02 9 20 WNU68 0.862 1.26E−02 9 61 WNU68 0.716 7.01E−02 9 21 WNU68 0.728 2.63E−02 9 26 WNU68 0.853 1.46E−02 9 19 WNU68 0.796 3.24E−02 9 17 WNU68 0.790 1.96E−02 9 62 WNU68 0.873 1.02E−02 9 53 WNU68 0.867 1.16E−02 9 18 WNU68 0.727 4.09E−02 12 22 WNU69 0.774 7.07E−02 8 41 WNU69 0.893 1.18E−03 3 54 WNU69 0.737 1.50E−02 3 56 WNU69 0.783 1.26E−02 2 55 WNU69 0.737 2.34E−02 2 58 WNU69 0.804 2.94E−02 2 48 WNU69 0.734 2.43E−02 2 57 WNU69 0.814 7.63E−03 2 26 WNU69 0.839 1.83E−02 2 19 WNU69 0.919 3.40E−03 2 62 WNU69 0.747 2.07E−02 2 56 WNU69 0.751 3.18E−02 11 1 WNU69 0.811 4.38E−03 11 55 WNU69 0.745 1.35E−02 11 58 WNU69 0.757 1.12E−02 11 57 WNU69 0.809 4.55E−03 11 26 WNU69 0.756 1.15E−02 11 56 WNU69 0.760 1.75E−02 11 59 WNU69 0.772 2.48E−02 1 1 WNU69 0.795 5.94E−03 1 55 WNU69 0.887 6.24E−04 1 58 WNU69 0.719 1.91E−02 1 57 WNU69 0.736 1.52E−02 1 26 WNU69 0.702 7.89E−02 9 17 WNU70 0.830 4.08E−02 8 41 WNU70 0.797 1.01E−02 4 32 WNU70 0.757 1.83E−02 4 9 WNU70 0.760 2.85E−02 3 1 WNU70 0.752 1.95E−02 3 19 WNU70 0.780 2.24E−02 3 62 WNU70 0.739 2.29E−02 3 59 WNU70 0.724 2.73E−02 2 30 WNU70 0.742 5.64E−02 2 19 WNU70 0.880 8.89E−03 2 62 WNU70 0.766 4.45E−02 2 54 WNU70 0.806 8.65E−03 2 34 WNU70 0.761 4.71E−02 5 19 WNU70 0.784 7.27E−03 11 30 WNU70 0.705 2.29E−02 11 32 WNU70 0.728 1.70E−02 11 41 WNU70 0.771 1.50E−02 1 22 WNU70 0.938 5.69E−04 1 4 WNU70 0.788 2.01E−02 9 25 WNU70 0.744 2.17E−02 12 60 WNU71 0.701 2.38E−02 3 42 WNU71 0.877 9.56E−03 2 62 WNU71 0.895 6.54E−03 2 54 WNU71 0.752 1.95E−02 5 6 WNU71 0.899 5.91E−03 5 49 WNU71 0.924 2.97E−03 5 20 WNU71 0.875 9.93E−03 5 52 WNU71 0.744 2.14E−02 5 2 WNU71 0.940 1.62E−03 5 61 WNU71 0.712 3.15E−02 5 8 WNU71 0.841 4.52E−03 5 10 WNU71 0.744 2.14E−02 5 23 WNU71 0.948 1.14E−03 5 21 WNU71 0.703 3.45E−02 5 5 WNU71 0.951 9.94E−04 5 63 WNU71 0.899 2.36E−03 5 47 WNU71 0.939 1.70E−03 5 50 WNU71 0.958 6.84E−04 5 17 WNU71 0.907 1.88E−03 5 25 WNU71 0.786 3.59E−02 5 53 WNU71 0.745 2.14E−02 5 59 WNU71 0.887 7.78E−03 5 18 WNU71 0.705 2.27E−02 1 58 WNU71 0.735 1.55E−02 1 26 WNU72 0.711 3.16E−02 4 55 WNU72 0.748 2.04E−02 4 57 WNU72 0.715 3.02E−02 4 26 WNU72 0.803 9.13E−03 4 40 WNU72 0.793 1.08E−02 4 62 WNU72 0.738 5.84E−02 4 54 WNU72 0.872 2.19E−03 4 56 WNU72 0.761 1.73E−02 4 59 WNU72 0.792 6.27E−03 3 46 WNU72 0.749 1.27E−02 3 29 WNU72 0.850 1.82E−03 3 55 WNU72 0.720 1.89E−02 3 58 WNU72 0.761 1.06E−02 3 33 WNU72 0.826 3.24E−03 3 7 WNU72 0.712 3.14E−02 3 22 WNU72 0.758 1.12E−02 3 57 WNU72 0.724 1.79E−02 3 26 WNU72 0.799 9.74E−03 3 19 WNU72 0.802 1.66E−02 3 62 WNU72 0.732 1.61E−02 3 45 WNU72 0.731 1.63E−02 3 56 WNU72 0.843 4.31E−03 2 55 WNU72 0.847 3.98E−03 2 58 WNU72 0.853 1.46E−02 2 48 WNU72 0.777 1.38E−02 2 57 WNU72 0.823 6.37E−03 2 26 WNU72 0.732 6.16E−02 2 19 WNU72 0.834 1.96E−02 2 62 WNU72 0.727 2.64E−02 2 56 WNU72 0.730 3.98E−02 2 59 WNU72 0.881 8.76E−03 5 22 WNU72 0.707 4.97E−02 5 48 WNU72 0.810 4.52E−03 11 30 WNU72 0.731 3.95E−02 11 19 WNU72 0.745 3.39E−02 1 24 WNU72 0.845 4.09E−03 1 22 WNU72 0.729 4.03E−02 1 60 WNU72 0.741 2.22E−02 1 54 WNU72 0.701 5.27E−02 9 48 WNU72 0.749 1.27E−02 12 46 WNU72 0.778 8.00E−03 12 11 WNU72 0.715 2.00E−02 12 7 WNU72 0.786 6.97E−03 12 45 WNU73 0.703 3.47E−02 5 46 WNU73 0.725 4.19E−02 5 43 WNU73 0.749 2.01E−02 5 14 WNU73 0.729 1.68E−02 11 29 WNU73 0.713 2.05E−02 11 33 WNU73 0.743 1.38E−02 11 32 WNU73 0.708 2.20E−02 1 29 WNU73 0.709 2.17E−02 1 40 WNU73 0.829 5.70E−03 9 46 WNU73 0.896 2.57E−03 9 43 WNU73 0.753 1.92E−02 9 7 WNU73 0.715 3.03E−02 9 14 WNU73 0.759 1.77E−02 9 45 WNU73 0.746 2.10E−02 12 43 WNU74 0.744 5.51E−02 4 22 WNU74 0.776 1.40E−02 4 40 WNU74 0.727 1.72E−02 3 34 WNU74 0.713 3.09E−02 2 11 WNU74 0.776 1.39E−02 2 55 WNU74 0.837 1.89E−02 2 48 WNU74 0.716 2.99E−02 2 26 WNU74 0.810 2.73E−02 2 19 WNU74 0.730 6.25E−02 2 62 WNU74 0.723 2.78E−02 2 45 WNU74 0.782 3.77E−02 2 54 WNU74 0.711 7.33E−02 5 54 WNU74 0.807 8.63E−03 9 40 WNU74 0.763 1.03E−02 12 29 WNU74 0.766 9.79E−03 12 33 WNU74 0.825 6.23E−03 12 43 WNU74 0.744 1.35E−02 12 40 Table 63. “Corr. ID”—correlation set ID according to the correlated parameters Table 58 above. “Exp. Set”—Expression set. “R” = Pearson correlation coefficient; “P” = p value.

Example 13 Production of Wheat Transcriptome and High Throughput Correlation Analysis Using 60K Wheat Oligonucleotide Micro-Array

In order to produce a high throughput correlation analysis comparing between plant phenotype and gene expression level, the present inventors utilized a Wheat oligonucleotide micro-array, produced by Agilent Technologies [chem. (dot) agilent (dot) com/Scripts/PDS (dot) asp?lPage=50879]. The array oligonucleotide represents about 60K Wheat genes and transcripts. In order to define correlations between the levels of RNA expression and yield or vigor related parameters, various plant characteristics of 14 different Wheat accessions were analyzed. Among them, 10 accessions encompassing the observed variance were selected for RNA expression analysis. The correlation between the RNA levels and the characterized parameters was analyzed using Pearson correlation test [davidmlane (dot) com/hyperstat/A34739 (dot) html].

Experimental Procedures

14 Wheat accessions in 5 repetitive blocks, each containing 8 plants per pot were grown at net house. Three different treatments were applied: plants were regularly fertilized and watered during plant growth until harvesting (as recommended for commercial growth, plants were irrigated 2-3 times a week, and fertilization was given in the first 1.5 months of the growth period) or under low Nitrogen (70% percent less Nitrogen) or under drought stress (cycles of drought and re-irrigating were conducted throughout the whole experiment, overall 40% less water were given in the drought treatment).

Analyzed Wheat tissues—Five tissues at different developmental stages [leaf, stem, root tip and adventitious root, flower], representing different plant characteristics, were sampled and RNA was extracted as described above. Each micro-array expression information tissue type has received a Set ID as summarized in Table 64 below.

TABLE 64 Wheat transcriptome expression sets under normal conditions Expression Set Set ID adv root:Normal:first tillering: 1 basal lemma:Normal:grain filling: 2 basal spike:Normal:flowering: 3 basal spike:Normal:grain filling: 4 leaf:Normal:flowering: 5 leaf:Normal:grain filling: 6 root tip:Normal:first tillering: 7 stem:Normal:flowering: 8 stem:Normal:grain filling: 9 Provided are the wheat transcriptome expression sets under normal conditions.

TABLE 65 Wheat transcriptome expression sets under low N conditions Expression Set Set ID adv root:Low N:first tillering 1 basal spike:Low N:flowering 2 basal spike:Low N:grain filling 3 leaf:Low N:flowering 4 leaf:Low N:grain filling 5 root tip:Low N:first tillering 6 wheat/evogene exp848 Low N/stem:Low N:flowering 7 wheat/evogene exp848 Low N/stem:Low N:grain filling 8 Provided are the wheat transcriptome expression sets under low N conditions.

TABLE 66 Wheat transcriptome expression sets low N vs. normal conditions Expression Set Set ID Low N vs. normal/adv root:Low N:first tillering 1 Low N vs. normal/basal spike:Low N:flowering 2 Low N vs. normal/basal spike:Low N:grain filling 3 Low N vs. normal/leaf:Low N:flowering 4 Low N vs. normal/leaf:Low N:grain filling 5 Low N vs. normal/root tip:Low N:first tillering 6 Low N vs. normal/stem:Low N:flowering 7 Low N vs. normal/stem:Low N:grain filling 8 Provided are the wheat transcriptome expression sets at low N versus (vs.) normal conditions. Wheat yield components and vigor related parameters assessment—Plants were phenotyped on a daily basis following the parameters listed in Tables 67-68 below. Harvest was conducted while all the spikes were dry. All material was oven dried and the seeds were threshed manually from the spikes prior to measurement of the seed characteristics (weight and size) using scanning and image analysis. The image analysis system included a personal desktop computer (Intel P4 3.0 GHz processor) and a public domain program—ImageJ 1.37 (Java based image processing program, which was developed at the U.S. National Institutes of Health and freely available on the internet [rsbweb (dot) nih (dot) gov/]. Next, analyzed data was saved to text files and processed using the JMP statistical analysis software (SAS institute).

Grain yield (gr.)—At the end of the experiment all spikes of the pots were collected. The total grains from all spikes that were manually threshed were weighted. The grain yield was calculated by per plot or per plant.

Spike length and width analysis—At the end of the experiment the length and width of five chosen spikes per plant were measured using measuring tape excluding the awns.

Spike number analysis—The spikes per plant were counted.

Plant height—Each of the plants was measured for its height using measuring tape. Height was measured from ground level to top of the longest spike excluding awns at two time points at the Vegetative growth (30 days after sowing) and at harvest.

Spike weight—The biomass and spikes weight of each plot was separated, measured and divided by the number of plants.

Dry weight—total weight of the vegetative portion above ground (excluding roots) after drying at 70° C. in oven for 48 hours at two time points at the Vegetative growth (30 days after sowing) and at harvest.

Spikelet per spike—number of spikelets per spike was counted.

Root/Shoot Ratio—The Root/Shoot Ratio is calculated using Formula XXII described above.

Total No. of tillers—all tillers were counted per plot at two time points at the Vegetative growth (30 days after sowing) and at harvest.

Node number—number of nodes in the main stem. Percent of reproductive tillers—the number of reproductive tillers barring a spike at harvest was divided by the total numbers of tillers. SPAD—Chlorophyll content was determined using a Minolta SPAD 502 chlorophyll meter and measurement was performed at time of flowering. SPAD meter readings were done on young fully developed leaf. Three measurements per leaf were taken per plot. Root FW (gr.), root length (cm) and No. of lateral roots—3 plants per plot were selected for measurement of root weight, root length and for counting the number of lateral roots formed. Shoot FW (fresh weight)—weight of 3 plants per plot were recorded at different time-points. Average Grain Area (cm²)—At the end of the growing period the grains were separated from the spike. A sample of ˜200 grains was weighted, photographed and images were processed using the below described image processing system. The grain area was measured from those images and was divided by the number of grains.

Average Grain Length and width (cm)—At the end of the growing period the grains were separated from the spike. A sample of ˜200 grains was weighted, photographed and images were processed using the below described image processing system. The sum of grain lengths or width (longest axis) was measured from those images and was divided by the number of grains.

Average Grain perimeter (cm)—At the end of the growing period the grains were separated from the spike. A sample of ˜200 grains was weighted, photographed and images were processed using the below described image processing system. The sum of grain perimeter was measured from those images and was divided by the number of grains.

Heading date—the day in which booting stage was observed was recorded and number of days from sowing to heading was calculated. Relative water content—Fresh weight (FW) of three leaves from three plants each from different seed ID was immediately recorded; then leaves were soaked for 8 hours in distilled water at room temperature in the dark, and the turgid weight (TW) was recorded. Total dry weight (DW) was recorded after drying the leaves at 60° C. to a constant weight. Relative water content (RWC) is calculated according to Formula I above. Tiller abortion rate (hd to F)—difference between tiller number at heading and tillet number at flowering divided by tiller number at heading. Tiller abortion rate—difference between tiller number at harvest and tillet number at flowering divided by tiller number at flowering. Grain N (H)—% N content of dry matter in the grain at harvest. Head N (GF)—% N content of dry matter in the head at grainfilling. Total shoot N-calculated as the % N content multiplied by the weight of plant shoot. Total grain N-calculated as the % N content multiplied by the weight of plant grain yield. NUE [kg/kg] (N use efficiency)—is the ratio between total grain yield per total N applied in soil. NUpE [kg/kg] (N uptake efficiency)—is the ratio between total plant biomass per total N applied in soil. Grain NUtE (N utilization efficiency)—is the ratio between grain yield per total shoot N Total NUtE—is the ratio between grain and shoot biomass per total shoot N. Stem Volume—(lower stem is the lowest internode and upper stem is the internode just below the head)-calculated volume of internode part. Stem density—is the ratio between internode dry weight and internode volume. NHI (N harvest index)—is the ratio between total grain N and total plant N(=total shoot N+total grain N). BPE (Biomass production efficiency)—is the ratio between plant biomass and total shoot N. Grain fill duration—the difference between number of days to maturity and number of days to flowering.

Harvest Index (for Wheat)—The harvest index was calculated using Formula XVIII described above.

Growth rate: the growth rate (GR) of Plant Height (Formula III described above), SPAD (Formula IV described above) and number of tillers (Formula V described above) were calculated with the indicated Formulas.

Specific N absorption—N absorbed per root biomass.

Specific root length—root biomass per root length.

Ratio low N/Normal: Represents ratio for the specified parameter of Drought condition results divided by Normal conditions results (maintenance of phenotype under drought in comparison to normal conditions).

TABLE 67 Wheat correlated parameters under normal and low N conditions (vectors) Correlation set Correlation ID 1000 grain weight [gr] 1 Avr spike DW (SS) [gr] 2 Avr spike DW (flowering) [gr] 3 Avr spike weight (harvest) [gr] 4 BPE 5 Fertile spikelets ratio 6 Grain area [mm²] 7 Grain fill duration [days] 8 Grains per plant 9 Grains per spike 10 Grains per spikelet 11 Grains weight per plant 12 Grains weight per spike 13 Harvest index 14 Leaf Area [cm²] 15 Leaf Average Width [cm] 16 Leaf Length [cm] 17 Leaf Perimeter [cm] 18 Leaves num at tillering 19 Leaves num flowering 20 N use efficiency 21 NHI 22 Node Num 23 Num days Heading (single) 24 Num days to anthesis 25 NupE 26 Peduncle length [cm] 27 Peduncle thickness [mm] 28 Plant height [cm] 29 RWC 30 Root length [cm] 31 Roots DW [gr] 32 SPAD early-mid grainfilling 33 SPAD flowering 34 SPAD mid-late grainfilling 35 Seminal roots 36 Shoot DW [gr] 37 Shoot/Root 38 Spike Area [cm²] 39 Spike Perimeter [cm] 40 Spike length [cm] 41 Spike width [cm] 42 Spikelets per spike 43 Tiller abortion rate 44 Tillering (Flowering) 45 Tillering (Heading) 46 Tillering (Tillering) 47 Total dry matter [gr] 48 Total Leaf Area [cm²] 49 Vegetative DW (Harvest) [gr] 50 field awns length [cm] 51 grain NUtE 52 grain protein [%] 53 peduncle volume [cm³] 54 specific N absorption [mg/gr] 55 specific root length [gr/cm] 56 tiller abortion rate (hd to F) 57 total NUtE 58 total grain N 59 total shoot N 60 Provided are the wheat correlated parameters. “TP” = time point; “DW” = dry weight; “FW” = fresh weight; “Low N” = Low Nitrogen; “RWC” = Relative water content [percent]; “num” = number.

TABLE 68 Wheat correlated parameters under low N conditions vs. normal (vectors) Correlation set Correlation ID 1000 grain weight [gr] 1 BPE 2 Fertile spikelets ratio 3 Grain area [mm²] 4 Grain fill duration [days] 5 Grains per spike 6 Grains per spikelet 7 Grains weight per spike 8 N use efficiency 9 NHI 10 NupE 11 Peduncle thickness [mm] 12 Root length [cm] 13 SPAD early-mid grainfilling 14 SPAD flowering 15 Seminal roots 16 Spikelets per spike 17 Tiller abortion rate 18 grain NUtE 19 grain protein [%] 20 peduncle volume [cm³] 21 specific N absorption [mg/gr] 22 specific root length [gr/cm] 23 tiller abortion rate (hd to F) 24 total NUtE 25 total grain N [mg] 26 total shoot N [mg] 27 Provided are the wheat correlated parameters. “TP” = time point; “DW” = dry weight; “FW” = fresh weight; “Low N” = Low Nitrogen; “RWC” = Relative water content +percent+.

Experimental Results

Fourteen different Wheat accessions were grown and characterized for different parameters as described above. Tables 67-68 describe the wheat correlated parameters. The average for each of the measured parameter was calculated using the JMP software and values are summarized in Tables 69-71 below. Subsequent correlation analysis between the various transcriptome sets and the average parameters was conducted (Tables 72-74). Follow, results were integrated to the database.

TABLE 69 Measured parameters of correlation IDs in wheat accessions under normal conditions Cor. Line ID L-1 L-2 L-3 L-4 L-5 L-6 L-7 L-8 L-9 L-10 L-11 L-12 L-13 L-14 1 24.81 19.31 11.63 29.68 9.24 21.05 22.14  15.08 13.61 20.71 33.52 16.66 12.74  13.43  2 1.52 0.84 1.49 2.64 1.23 1.45 0.66 1.59 1.67 1.96 2.89 1.64 0.62 0.42 3 5.67 0.28 0.31 4.28 0.36 0.24 NA 0.27 0.28 0.47 9.11 5.11 NA NA 4 1.36 0.89 1.41 2.51 1.01 1.57 0.51 1.42 1.48 2.06 2.46 1.16 0.44 0.36 5 0.58 0.36 0.34 0.47 0.37 0.61 NA 0.58 0.27 0.56 0.83 0.76 NA NA 6 74.09 73.31 81.68 88.72 NA 75.72 NA 83.70 87.05 78.99 86.83 75.82 NA NA 7 0.20 0.17 0.15 0.18 0.17 0.19 0.14 0.20 0.17 0.18 0.20 0.17 0.11 0.11 8 27.89 31.43 NA 30.02 NA 27.75 NA 32.84 NA 29.20 27.10 26.48 NA NA 9 94.23 68.65 122.44 123.90 151.23 105.13 16.30  106.83 103.09 141.63 139.23 85.38 13.10  18.57  10 19.69 13.29 22.77 37.16 21.52 19.41 5.98 20.00 23.41 30.03 34.00 18.49 5.07 6.60 11 2.17 1.26 2.19 2.93 NA 1.64 NA 1.83 1.93 2.30 2.80 2.28 NA NA 12 4.54 2.75 3.76 5.93 4.32 4.86 0.48 5.29 4.11 6.01 6.91 3.59 0.40 2.53 13 0.95 0.53 0.70 1.74 0.59 0.90 0.13 0.96 0.93 1.26 1.69 0.78 0.09 0.77 14 0.48 0.32 0.28 0.49 0.26 0.35 0.05 0.41 0.33 0.42 0.48 0.45 0.03 0.18 15 13.80 19.54 NA 22.46 NA 21.61 NA 25.44 23.31 20.79 16.25 13.46 NA NA 16 0.86 0.92 NA 1.26 NA 1.05 NA 1.17 1.12 1.19 1.01 0.83 NA NA 17 19.65 26.79 NA 22.03 NA 25.53 NA 27.80 25.91 21.67 19.98 19.81 NA NA 18 41.46 53.77 NA 48.92 NA 53.08 NA 58.95 54.29 46.10 42.25 40.93 NA NA 19 6.60 5.60 6.20 6.60 5.80 5.60 6.40 5.40 5.40 5.20 6.00 6.20 5.00 5.00 20 18.00 13.00 22.50 11.50 20.75 18.50 NA 11.00 23.75 19.00 12.50 18.75 NA NA 21 0.05 0.03 0.04 0.06 0.04 0.05 0.00 0.05 0.04 0.06 0.07 0.04 NA NA 22 0.48 0.31 0.24 0.43 0.26 0.45 NA 0.47 0.23 0.40 0.54 0.54 NA NA 23 4.00 4.43 4.50 4.94 4.27 4.56 NA 4.21 4.57 4.94 4.69 3.94 NA NA 24 60.22 69.88 85.25 61.78 83.00 65.78 105.00  68.75 74.29 68.75 58.89 57.11 106.25  77.00  25 69.11 73.00 85.25 69.56 86.38 71.25 105.00  71.88 78.00 72.38 67.33 68.67 105.00  NA 26 2.50 2.49 4.26 3.59 4.70 3.33 NA 3.28 4.78 3.51 3.04 1.81 NA NA 27 27.28 30.39 21.21 30.71 26.15 34.07 NA 29.78 25.44 27.41 28.13 21.53 NA NA 28 2.61 2.72 3.53 3.31 3.22 3.07 NA 3.06 3.25 3.51 3.02 1.92 NA NA 29 45.59 63.41 69.33 62.91 68.03 79.43 NA 61.86 62.33 59.18 55.23 44.72 NA NA 30 76.29 NA 82.03 76.11 NA 67.30 NA 73.33 NA 70.94 80.72 74.88 NA NA 31 31.10 16.20 28.10 34.06 37.84 26.88 31.98  23.42 36.02 38.88 37.20 33.00 22.38  34.60  32 0.89 0.07 0.20 1.01 0.36 0.50 0.63 0.11 0.16 0.52 1.04 0.54 0.27 0.25 33 37.33 28.34 NA 38.71 NA 46.47 NA 38.62 35.80 45.58 46.95 35.32 NA NA 34 38.75 31.09 43.30 40.29 45.54 44.93 NA 38.98 36.10 46.43 42.89 34.15 NA NA 35 35.97 NA NA 37.21 NA NA NA NA NA NA 46.27 35.81 NA NA 36 11.20 6.00 8.00 11.00 7.80 7.80 10.20  6.00 6.20 8.20 10.80 7.60 6.60 7.80 37 0.64 0.25 0.46 0.56 0.43 0.37 0.58 0.34 0.45 0.46 0.52 0.43 0.33 0.39 38 0.72 3.47 2.30 0.55 1.18 0.74 0.92 3.12 2.76 0.89 0.50 0.78 1.24 1.53 39 9.52 6.27 8.42 11.73 7.03 6.51 8.96 9.88 9.43 10.33 12.38 9.53 7.33 8.14 40 22.34 15.81 22.47 20.86 26.69 20.43 30.39  20.81 20.89 21.34 22.76 18.72 22.74  27.02  41 8.48 6.51 9.54 8.14 10.29 8.51 13.41  8.11 8.25 8.57 9.13 7.46 9.69 11.24  42 1.39 1.18 1.12 1.68 0.83 1.02 0.89 1.50 1.43 1.55 1.64 1.52 1.03 0.92 43 16.24 17.22 19.40 16.93 NA 17.42 NA 16.22 17.25 18.84 19.56 16.93 NA NA 44 19.58 −10.00 32.58 −2.31 46.10 41.28 NA −25.88 34.26 27.41 1.18 25.60 NA NA 45 6.00 4.75 7.75 3.25 13.13 9.75 NA 4.25 6.75 6.75 4.25 6.25 NA NA 46 4.00 5.89 7.00 4.24 11.25 6.86 2.80 5.32 5.81 4.57 3.19 3.43 1.80 2.80 47 2.60 1.80 3.40 2.00 3.40 2.40 2.80 2.20 1.60 1.80 1.60 2.00 1.80 2.80 48 75.26 62.94 109.09 94.88 128.46 112.16 72.40  100.76 100.02 116.56 115.89 63.75 71.40  109.78  49 227.54 111.47 NA 176.24 NA 549.02 NA 431.85 231.67 188.34 186.23 269.35 NA NA 50 23.35 28.68 57.53 30.57 70.98 52.25 61.70  39.99 47.89 44.82 37.47 20.86 63.48  102.17  51 6.46 8.45 6.33 6.56 NA 1.20 NA 8.57 7.47 7.41 6.17 5.30 NA NA 52 0.04 0.02 0.01 0.03 0.01 0.03 NA 0.03 0.01 0.03 0.05 0.04 NA NA 53 15.12 15.79 15.61 14.94 16.13 17.49 NA 16.67 15.14 13.42 13.60 15.44 NA NA 54 1.46 1.76 2.08 2.64 2.13 2.51 NA 2.19 2.11 2.65 2.02 0.62 NA NA 55 146.26 2391.37 1626.16 201.95 956.25 367.62 NA 1596.15 2272.98 404.96 133.54 154.31 NA NA 56 0.03 0.00 0.01 0.03 0.01 0.02 0.02 0.00 0.00 0.01 0.03 0.02 NA NA 57 −50.00 19.42 −10.71 23.31 −16.67 −42.19 NA 20.05 −16.08 −47.66 −33.21 −82.29 NA NA 58 0.30 0.25 0.26 0.26 0.27 0.34 NA 0.31 0.21 0.33 0.38 0.35 NA NA 59 120.32 76.17 102.85 155.55 122.14 149.13 0.00 154.79 109.19 141.44 164.82 97.18 NA NA 60 129.59 172.80 322.79 203.44 347.42 183.50 0.00 173.47 368.56 209.50 139.48 83.97 NA NA Table 69. Provided are the values of each of the parameters (as described in Table 67 above) measured in wheat accessions (line; “L”) under normal growth conditions. Growth conditions are specified in the experimental procedure section. “NA” = not available. “Cor.”—correlation.

TABLE 70 Measured parameters of correlation IDs in wheat accessions under low N conditions Cor. Line ID L-1 L-2 L-3 L-4 L-5 L-6 L-7 L-8 L-9 L-10 L-11 L-12 L-13 L-14 1 14.16 25.17 14.38 31.87 16.45 17.73 18.58  15.41 9.52 24.18 25.37 13.45 21.45  15.71  2 3.13 2.01 3.00 5.55 1.32 3.31 0.83 2.96 3.21 5.22 5.01 2.98 1.14 0.84 3 0.29 0.33 0.30 0.50 0.23 0.32 NA 0.37 0.34 0.70 0.58 0.27 NA NA 4 1.36 0.99 1.76 2.66 1.12 1.45 0.79 1.46 1.52 2.60 2.50 1.26 1.09 0.71 5 0.92 0.93 0.74 1.01 0.68 0.89 NA 0.81 0.81 0.54 0.89 0.76 NA NA 6 71.78 67.63 90.51 86.83 85.63 86.29 90.18  78.66 79.08 80.66 80.58 75.68 83.34  81.51  7 0.18 0.16 0.14 0.17 0.15 0.18 0.12 0.19 0.16 0.17 0.17 0.16 0.13 0.12 8 27.54 31.57 27.11 33.14 22.43 33.75 NA 31.43 31.93 31.14 30.37 27.98 NA NA 9 78.65 67.44 95.73 71.48 81.53 70.10 23.67  57.70 74.75 83.60 81.60 73.13 67.66  24.52  10 25.30 20.12 39.44 43.83 21.07 24.53 8.38 19.91 24.84 46.51 40.93 22.11 22.96  7.78 11 2.69 1.73 2.94 3.57 1.93 2.45 0.69 1.85 2.29 3.58 3.62 2.26 2.02 0.63 12 3.43 2.50 2.98 3.29 2.54 2.93 1.26 2.77 2.63 3.27 3.41 2.75 1.50 0.92 13 1.06 0.75 1.22 2.02 0.64 0.97 0.40 0.93 0.88 1.82 1.67 0.83 0.51 0.20 14 0.51 0.41 0.38 0.50 0.27 0.38 0.09 0.39 0.33 0.42 0.46 0.45 0.17 0.14 15 15.28 20.23 NA 11.13 NA 15.37 NA 13.37 18.07 14.65 16.78 12.92 NA NA 16 0.94 1.01 NA 0.80 NA 0.90 NA 0.81 0.98 0.94 0.93 0.92 NA NA 17 20.01 24.79 NA 16.84 NA 21.17 NA 19.79 22.14 19.60 22.26 18.02 NA NA 18 43.99 53.54 NA 35.89 NA 43.81 NA 41.85 46.51 45.20 46.58 38.43 NA NA 19 6.40 6.40 6.80 6.00 6.00 6.20 5.00 5.60 5.40 6.00 6.00 6.00 5.80 5.40 20 NA NA NA NA 6.25 NA NA NA NA NA NA NA NA NA 21 0.14 0.10 0.12 0.13 0.10 0.12 0.05 0.11 0.11 0.13 0.14 0.11 NA NA 22 0.54 0.49 0.42 0.66 0.28 0.56 NA 0.56 0.47 0.45 0.66 0.51 NA NA 23 4.13 4.08 4.44 4.75 3.94 3.81 NA 3.31 4.25 3.53 4.56 4.56 NA NA 24 57.56 67.11 76.22 61.33 80.63 65.11 109.00  65.56 70.00 66.44 58.44 53.11 103.56  109.00  25 68.89 73.00 77.89 68.00 82.57 71.25 105.00  71.00 72.57 73.00 67.78 68.44 101.13  105.00  26 5.03 3.92 6.22 6.07 7.61 5.99 0.00 6.24 6.00 8.40 7.49 5.44 NA NA 27 25.91 39.58 44.70 32.31 20.79 43.84 NA 42.72 37.81 32.50 27.66 24.56 NA NA 28 2.45 2.85 3.54 3.59 2.88 3.42 NA 3.16 3.23 3.69 3.51 2.44 NA NA 29 47.48 81.12 85.36 61.31 62.29 94.38 NA 74.44 80.19 64.56 61.81 54.06 NA NA 30 78.08 75.04 84.41 84.12 NA 82.70 NA 72.54 53.64 84.04 79.53 86.25 NA NA 31 34.60 33.36 33.10 32.00 38.60 41.90 36.90  32.16 32.90 37.30 36.44 27.40 32.20  33.00  32 0.78 0.63 0.28 1.10 0.48 0.68 0.61 0.65 0.75 1.51 1.05 0.72 0.40 0.60 33 41.11 26.03 NA 38.94 NA 38.05 NA 32.06 31.48 41.45 45.34 35.17 NA NA 34 40.38 32.17 38.19 42.45 37.49 42.30 NA 38.79 36.31 NA 45.14 34.60 NA NA 35 33.10 NA NA 32.57 NA NA NA NA NA NA 37.87 29.01 NA NA 36 11.20 8.00 10.00 9.60 7.00 8.80 8.20 9.20 8.80 11.40 10.40 10.80 7.00 7.40 37 0.45 0.48 0.64 0.51 0.39 0.55 0.48 0.66 0.59 0.61 0.60 0.63 0.43 0.43 38 0.58 0.77 2.24 0.47 0.81 0.81 0.79 1.01 0.80 0.40 0.57 0.87 1.06 0.72 39 8.05 5.90 7.31 11.08 8.29 7.38 9.73 8.21 7.77 10.74 10.17 7.26 7.27 9.72 40 18.48 15.54 19.57 19.84 23.88 20.11 32.44  18.68 18.65 20.31 18.97 16.29 21.77  30.30  41 7.32 6.31 8.17 7.87 10.05 8.70 14.36  7.00 6.99 8.08 7.44 6.43 9.01 13.43  42 1.29 1.10 1.13 1.51 1.03 1.07 0.92 1.40 1.40 1.51 1.57 1.33 1.12 1.05 43 16.20 16.29 17.49 16.44 17.97 16.49 20.62  15.16 17.20 18.53 18.00 17.13 18.38  18.97  44 17.33 36.36 46.11 33.00 51.94 53.20 NA 35.00 52.00 44.62 31.67 16.88 NA NA 45 3.75 5.50 4.50 2.50 7.75 6.25 NA 4.50 6.25 3.25 3.00 4.00 NA NA 46 4.14 4.22 4.29 3.00 6.05 5.29 2.40 4.76 3.90 3.65 3.19 4.10 3.20 2.40 47 1.80 2.60 4.20 1.60 3.20 2.80 2.40 3.20 2.40 2.80 2.00 2.00 3.20 2.40 48 52.66 46.55 67.18 52.36 92.33 58.79 89.95  55.21 64.50 62.16 56.55 51.08 84.82  91.80  49 201.42 190.89 NA 182.97 NA 148.36 NA 100.45 237.33 109.86 273.83 230.90 NA NA 50 19.12 19.55 40.05 17.70 59.04 28.30 74.95  22.35 28.23 24.71 19.81 19.47 63.20  75.93  51 5.77 7.70 6.64 6.17 NA NA NA 9.31 7.49 5.63 5.46 4.75 NA NA 52 0.06 0.05 0.03 0.06 0.02 0.04 NA 0.04 0.03 0.03 0.05 0.04 NA NA 53 8.60 9.96 9.81 9.58 7.09 9.80 NA 9.46 9.69 9.02 10.20 10.94 NA NA 54 1.22 2.52 4.39 3.26 1.36 4.02 0.00 3.34 3.09 3.46 2.68 1.14 NA NA 55 161.96 155.87 547.22 138.06 399.44 219.78 NA 238.94 201.24 139.26 178.14 188.90 NA NA 56 0.02 0.02 0.01 0.03 0.01 0.02 NA 0.02 0.02 0.04 0.03 0.03 NA NA 57 9.48 −30.26 −5.00 16.67 −28.15 −18.24 NA 5.50 −60.06 10.96 5.97 2.33 NA NA 58 0.42 0.47 0.43 0.34 0.48 0.39 NA 0.35 0.43 0.30 0.30 0.38 NA NA 59 68.42 48.01 64.65 99.72 53.69 83.57 NA 87.82 69.89 95.05 123.62 68.89 NA NA 60 57.37 50.04 90.78 52.09 136.69 66.27 NA 68.21 80.06 114.89 63.65 67.08 NA NA Table 70. Provided are the values of each of the parameters (as described in Table 67 above) measured in Barley accessions (lines; “L”) under low N growth conditions. Growth conditions are specified in the experimental procedure section. “NA” = not available. “Cor.”—correlation.

TABLE 71 Additional measured parameters of correlation IDs in wheat accessions under low N vs. normal conditions Cor. Line ID L-1 L-2 L-3 L-4 L-5 L-6 L-7 L-8 L-9 L-10 L-11 L-12 L-13 L-14 1 0.57 1.30 1.24 1.07 1.78 0.84 0.84 1.02 0.70 1.17 0.76 0.81 1.68 1.17 2 1.58 2.55 2.19 2.16 1.83 1.45 NA 1.39 2.97 0.97 1.07 1.00 NA NA 3 0.97 0.92 1.11 0.98 NA 1.14 NA 0.94 0.91 1.02 0.93 1.00 NA NA 4 0.89 0.99 0.90 0.95 0.91 0.95 0.88 0.94 0.92 0.90 0.87 0.92 1.17 1.08 5 0.99 1.00 NA 1.10 NA 1.22 NA 0.96 NA 1.07 1.12 1.06 NA NA 6 1.28 1.51 1.73 1.18 0.98 1.26 1.40 1.00 1.06 1.55 1.20 1.20 4.52 1.18 7 1.24 1.37 1.34 1.22 NA 1.49 NA 1.01 1.19 1.55 1.29 0.99 NA NA 8 1.12 1.41 1.75 1.16 1.09 1.08 3.03 0.97 0.95 1.44 0.99 1.07 5.54 0.26 9 3.03 3.63 3.17 2.22 2.35 2.41 10.62  2.10 2.56 2.18 1.98 3.07 NA NA 10 1.13 1.60 1.72 1.52 1.08 1.24 NA 1.19 2.04 1.12 1.22 0.94 NA NA 11 2.01 1.58 1.46 1.69 1.62 1.80 NA 1.90 1.26 2.39 2.46 3.00 NA NA 12 0.94 1.05 1.00 1.08 0.89 1.11 NA 1.03 0.99 1.05 1.16 1.27 NA NA 13 1.11 2.06 1.18 0.94 1.02 1.56 1.15 1.37 0.91 0.96 0.98 0.83 1.44 0.95 14 1.10 0.92 NA 1.01 NA 0.82 NA 0.83 0.88 0.91 0.97 1.00 NA NA 15 1.04 1.03 0.88 1.05 0.82 0.94 NA 1.00 1.01 NA 1.05 1.01 NA NA 16 1.00 1.33 1.25 0.87 0.90 1.13 0.80 1.53 1.42 1.39 0.96 1.42 1.06 0.95 17 1.00 0.95 0.90 0.97 NA 0.95 NA 0.93 1.00 0.98 0.92 1.01 NA NA 18 0.89 −3.64 1.42 −14.30 1.13 1.29 NA −1.35 1.52 1.63 26.92 0.66 NA NA 19 1.71 3.14 2.82 2.16 1.50 1.67 NA 1.33 2.94 0.99 1.08 0.96 NA NA 20 0.57 0.63 0.63 0.64 0.44 0.56 NA 0.57 0.64 0.67 0.75 0.71 NA NA 21 0.84 1.43 2.11 1.24 0.64 1.60 NA 1.53 1.46 1.31 1.33 1.84 NA NA 22 1.11 0.07 0.34 0.68 0.42 0.60 NA 0.15 0.09 0.34 1.33 1.22 NA NA 23 0.79 4.23 1.21 1.16 1.29 0.88 NA 4.38 5.03 3.04 1.03 1.59 NA NA 24 −0.19 −1.56 0.47 0.71 1.69 0.43 NA 0.27 3.73 −0.23  −0.18 −0.03 NA NA 25 1.39 1.88 1.69 1.31 1.77 1.16 NA 1.15 2.05 0.89 0.79 1.07 NA NA 26 0.57 0.63 0.63 0.64 0.44 0.56 NA 0.57 0.64 0.67 0.75 0.71 NA NA 27 0.44 0.29 0.28 0.26 0.39 0.36 NA 0.39 0.22 0.55 0.46 0.80 NA NA Table 71. Provided are the values of each of the parameters (as described in Table 68 above) measured in wheat accessions (lines; “L”) under low N vs. normal growth conditions. Growth conditions are specified in the experimental procedure section. “NA” = not available. “Cor.”—correlation.

TABLE 72 Correlation between the expression level of selected genes of some embodiments of the invention in various tissues and the phenotypic performance under low nitrogen fertilization conditions across wheat accessions Cor. Cor. Exp. Set Gene Exp. Set P value set ID Name R P value set ID 1.50E−02 5 3 WNU102 0.783 4.41E−03 8 10 5.20E−02 4 24 WNU102 0.946 4.36E−03 4 29 2.05E−02 4 47 WNU102 0.715 1.10E−01 4 18 2.88E−02 4 25 WNU102 0.782 6.60E−02 4 44 3.19E−02 4 27 WNU102 0.738 2.31E−02 6 33 7.24E−02 3 60 WNU103 0.776 4.02E−02 3 24 2.88E−03 3 31 WNU103 0.773 4.17E−02 3 44 1.99E−02 3 40 WNU103 0.787 3.59E−02 3 41 6.51E−02 3 48 WNU103 0.730 1.65E−02 7 24 9.67E−03 7 44 WNU103 0.723 1.05E−01 4 30 4.67E−03 1 2 WNU103 0.735 1.00E−02 1 57 4.41E−03 1 13 WNU103 0.718 1.28E−02 1 4 Table 72. “Cor. ID”—correlation set ID according to the correlated parameters in Table 67 above. “Exp. Set”—Expression set. “R” = Pearson correlation coefficient; “P” = p value.

TABLE 73 Correlation between the expression level of selected genes of some embodiments of the invention in various tissues and the phenotypic performance under normal fertilization conditions across wheat accessions Gene Exp. Cor. Gene Exp. Cor. Name R P value set Set ID Name R P value set Set ID WNU102 0.801 3.04E−03 3 24 WNU102 0.715 4.64E−02 3 8 WNU102 0.704 3.43E−02 3 18 WNU102 0.742 8.87E−03 3 25 WNU102 0.782 1.29E−02 3 17 WNU102 0.845 2.09E−03 9 43 WNU102 0.913 1.11E−02 5 24 WNU102 0.731 9.87E−02 5 46 WNU102 0.899 1.48E−02 5 25 WNU102 0.802 5.52E−02 5 51 WNU102 0.717 2.96E−02 6 43 WNU103 0.728 1.70E−02 2 47 WNU103 0.796 3.23E−02 7 30 WNU103 0.705 2.27E−02 7 47 WNU103 0.768 9.52E−03 7 40 WNU103 0.735 1.55E−02 7 41 WNU103 0.739 9.33E−03 3 1 WNU103 0.718 1.28E−02 3 32 WNU103 0.782 4.46E−03 3 14 WNU103 0.871 4.76E−04 3 3 WNU103 0.866 5.70E−04 3 52 WNU103 0.747 8.31E−03 3 22 WNU103 0.784 4.26E−03 3 5 WNU103 0.710 1.44E−02 3 58 WNU103 0.733 1.58E−02 1 14 WNU103 0.735 1.54E−02 1 39 WNU103 0.752 1.20E−02 1 2 WNU103 0.778 1.35E−02 1 11 WNU103 0.784 7.24E−03 1 13 WNU103 0.707 2.22E−02 1 4 WNU103 0.783 7.41E−03 4 24 WNU103 0.797 5.77E−03 4 25 WNU103 0.753 1.20E−02 9 19 WNU103 0.784 6.50E−02 5 1 WNU103 0.796 5.81E−02 5 32 WNU103 0.796 5.80E−02 5 6 WNU103 0.820 4.57E−02 5 56 WNU103 0.705 1.17E−01 5 2 WNU103 0.789 6.18E−02 5 36 WNU103 0.737 9.45E−02 5 11 WNU103 0.765 7.63E−02 5 13 WNU103 0.723 1.04E−01 5 19 WNU103 0.703 1.19E−01 5 10 WNU103 0.744 8.64E−03 8 1 WNU103 0.730 1.07E−02 8 32 WNU103 0.768 5.73E−03 8 14 WNU103 0.798 3.21E−03 8 56 WNU103 0.702 1.60E−02 8 3 WNU103 0.781 4.53E−03 8 52 WNU103 0.850 9.09E−04 8 22 WNU103 0.717 1.30E−02 8 5 Table 73. “Cor. ID”—correlation set ID according to the correlated parameters Table 67 above. “Exp. Set”—Expression set. “R” = Pearson correlation coefficient; “P” = p value.

TABLE 74 Correlation between the expression level of selected genes of some embodiments of the invention in various tissues and the phenotypic performance under low N vs. normal fertilization conditions across wheat accessions Gene Exp. Cor. Gene Exp. Cor. Name R P value set Set ID Name R P value set Set ID WNU102 0.702 2.35E−02 2 7 WNU102 0.821 2.36E−02 3 11 WNU102 0.894 6.64E−03 3 27 WNU102 0.798 3.15E−02 3 12 WNU102 0.724 1.17E−02 8 8 WNU102 0.733 1.02E−02 8 6 WNU102 0.892 1.68E−02 4 1 WNU102 0.964 1.93E−03 4 23 WNU102 0.778 6.86E−02 4 8 WNU102 0.811 5.01E−02 4 6 WNU102 0.701 1.62E−02 6 11 WNU102 0.920 5.92E−05 6 22 WNU102 0.704 3.43E−02 6 14 WNU103 0.782 6.61E−02 3 7 WNU103 0.745 1.34E−02 7 10 WNU103 0.726 1.74E−02 7 2 WNU103 0.709 2.16E−02 7 25 WNU103 0.759 7.99E−02 4 11 WNU103 0.834 3.88E−02 4 27 WNU103 0.790 6.15E−02 4 12 WNU103 0.802 5.49E−02 4 21 Table 74. “Cor. ID”—correlation set ID according to the correlated parameters Table 67 above. “Exp. Set”—Expression set. “R” = Pearson correlation coefficient; “P” = p value.

Example 14 Gene Cloning and Generation of Binary Vectors for Plant Expression

To validate their role in improving yield, selected genes were over-expressed in plants, as follows.

Cloning Strategy

Selected genes from those presented in Examples 1-13 hereinabove were cloned into binary vectors for the generation of transgenic plants. For cloning, the full-length open reading frames (ORFs) were identified. EST clusters and in some cases mRNA sequences were analyzed to identify the entire open reading frame by comparing the results of several translation algorithms to known proteins from other plant species.

In order to clone the full-length cDNAs, reverse transcription (RT) followed by polymerase chain reaction (PCR; RT-PCR) was performed on total RNA extracted from leaves, roots or other plant tissues, growing under normal/limiting or stress conditions. Total RNA extraction, production of cDNA and PCR amplification was performed using standard protocols described elsewhere (Sambrook J., E. F. Fritsch, and T. Maniatis. 1989. Molecular Cloning. A Laboratory Manual, 2nd Ed. Cold Spring Harbor Laboratory Press, New York.) which are well known to those skilled in the art. PCR products were purified using PCR purification kit (Qiagen).

Usually, 2 sets of primers were prepared for the amplification of each gene, via nested PCR (if required). Both sets of primers were used for amplification on a cDNA. In case no product was obtained, a nested PCR reaction was performed. Nested PCR was performed by amplification of the gene using external primers and then using the produced PCR product as a template for a second PCR reaction, where the internal set of primers were used. Alternatively, one or two of the internal primers were used for gene amplification, both in the first and the second PCR reactions (meaning only 2-3 primers are designed for a gene). To facilitate further cloning of the cDNAs, an 8-12 base pairs (bp) extension was added to the 5′ of each internal primer. The primer extension includes an endonuclease restriction site. The restriction sites were selected using two parameters: (a) the restriction site does not exist in the cDNA sequence; and (b) the restriction sites in the forward and reverse primers were designed such that the digested cDNA was inserted in the sense direction into the binary vector utilized for transformation.

PCR products were digested with the restriction endonucleases (New England BioLabs Inc) according to the sites designed in the primers. Each digested/undigested PCR product was inserted into a high copy vector pUC19 (New England BioLabs Inc], or into plasmids originating from this vector. In some cases the undigested PCR product was inserted into pCR-Blunt II-TOPO (Invitrogen) or into pJET1.2 (CloneJET PCR Cloning Kit, Thermo Scientific) or directly into the binary vector. The digested/undigested products and the linearized plasmid vector were ligated using T4 DNA ligase enzyme (Roche, Switzerland or other manufacturers). In cases where pCR-Blunt II-TOPO is used no T4 ligase is needed.

Sequencing of the inserted genes was performed, using the ABI 377 sequencer (Applied Biosystems). In some cases, after confirming the sequences of the cloned genes, the cloned cDNA was introduced into a modified pGI binary vector containing the At6669 promoter (e.g., pQFNc) and the NOS terminator (SEQ ID NO: 6929) via digestion with appropriate restriction endonucleases.

In case of Brachypodium transformation, after confirming the sequences of the cloned genes, the cloned cDNAs were introduced into pEBbVNi (FIG. 9A) containing 35S promoter (SEQ ID NO: 6930) and the NOS terminator (SEQ ID NO:6929) via digestion with appropriate restriction endonucleases. The genes were cloned downstream to the 35S promoter and upstream to the NOS terminator.

Several DNA sequences of the selected genes were synthesized by GeneArt (Life Technologies, Grand Island, N.Y., USA). Synthetic DNA was designed in silico. Suitable restriction enzymes sites were added to the cloned sequences at the 5′ end and at the 3′ end to enable later cloning into the desired binary vector.

Binary vectors—The pPI plasmid vector was constructed by inserting a synthetic poly-(A) signal sequence, originating from pGL3 basic plasmid vector (Promega, GenBank Accession No. U47295; nucleotides 4658-4811) into the HindIII restriction site of the binary vector pBI101.3 (Clontech, GenBank Accession No. U12640). pGI is similar to pPI, but the original gene in the backbone is GUS-Intron and not GUS.

The modified pGI vector (e.g., pQFN, pQFNc, pQYN_6669, pQNa_RP, pQFYN or pQXNc) is a modified version of the pGI vector in which the cassette is inverted between the left and right borders so the gene and its corresponding promoter are close to the right border and the NPTII gene is close to the left border.

At6669, the new Arabidopsis thaliana promoter sequence (SEQ ID NO:6918) was inserted in the modified pGI binary vector, upstream to the cloned genes, followed by DNA ligation and binary plasmid extraction from positive E. coli colonies, as described above. Colonies were analyzed by PCR using the primers covering the insert which were designed to span the introduced promoter and gene. Positive plasmids were identified, isolated and sequenced.

pEBbVNi (FIG. 9A) is a modified version of pJJ2LB in which the Hygromycin resistance gene was replaced with the BAR gene which confers resistance to the BASTA herbicide [BAR gene coding sequence is provided in GenBank Accession No. JQ293091.1 (SEQ ID NO:7121); further description is provided in Akama K, et al. “Efficient Agrobacterium-mediated transformation of Arabidopsis thaliana using the bar gene as selectable marker”, Plant Cell Rep. 1995, 14(7):450-4; Christiansen P, et al. “A rapid and efficient transformation protocol for the grass Brachypodium distachyon”, Plant Cell Rep. 2005 March; 23(10-11):751-8. Epub 2004 Oct. 19; and Pacurar D I, et al. “A high-throughput Agrobacterium-mediated transformation system for the grass model species Brachypodium distachyon L”, Transgenic Res. 2008 17(5):965-75; each of which is fully incorporated herein by reference in its entirety]. The pEBbVNi construct contains the 35S promoter (SEQ ID NO:6930). pJJ2LB is a modified version of pCambia0305.2 (Cambia).

In case genomic DNA was cloned, the genes were amplified by direct PCR on genomic DNA extracted from leaf tissue using the DNAeasy kit (Qiagen Cat. No. 69104).

Selected genes cloned by the present inventors are provided in Table 75 below.

TABLE 75 Genes cloned in High copy number plasmids or in binary vectors and the primers used for cloning of the genes SEQ ID NOs of the Polyn. SEQ Polyp. SEQ Gene Name High copy plasmid Organism primers employed ID NO: ID NO: WNU1 pMA-RQ_WNU1_GA 112 202 WNU2 pUC19c_WNU2 SORGHUM Sorghum bicolor 7030, 6949, 7030, 6949 113 203 WNU3 pUC19c_WNU3 SORGHUM Sorghum bicolor 7062, 6989, 7062, 6989 114 204 WNU5 pQFNc_WNU5 ARABIDOPSIS Arabidopsis thalia 115 205 WNU6 pQFNc_WNU6 ARABIDOPSIS Arabidopsis thalia 7089, 7011, 7085, 6953 116 206 WNU7 pMA-RQ_WNU7_GA 117 207 WNU8 pUC19c_WNU8 BARLEY Hordeum vulgare L. 7058, 6961, 7058, 7002 118 208 WNU9 pMA-RQ_WNU9_GA 119 209 WNUll pQFNc_WNU11 BARLEY Hordeum vulgare L. 7069, 7103, 7087, 7101 120 211 WNU12 pUC19_WNU12 BARLEY Hordeum vulgare L. 7016, 7113, 7016, 7113 121 305 WNU13 pQFNc_WNU13 BARLEY Hordeum vulgare L. 7086, 7115, 7045, 7118 122 213 WNU14 pUC19c_WNU14 BARLEY Hordeum vulgare L. 7041, 6991, 7077, 6959 123 306 WNU15 pMA-RQ_WNU15_GA 124 215 WNU16 pUC19c_WNU16 BARLEY Hordeum vulgare L. 7060, 6984, 7060, 6984 125 216 WNU17 pMA-T_WNU17_GA 126 217 WNU18 pMA-T_WNU18_GA 127 218 WNU19 pUC19c_WNU19 BARLEY Hordeum vulgare L. 7043, 6951, 7043, 6980 128 219 WNU20 pMA-T_WNU20_GA 129 220 WNU21 pQFNc_WNU21 BARLEY Hordeum vulgare L. 7024, 7012, 7068, 6954 130 307 WNU23 pMA-RQ_WNU23_GA 131 223 WNU25 pUC19c_WNU25 BARLEY Hordeum vulgare L. 7056, 7107, 7056, 7107 132 224 WNU26 pMA-RQ_WNU26_GA 133 225 WNU27 pUC19c_WNU27 BARLEY Hordeum vulgare L. 6995, 6936, 6992, 6934 134 308 WNU28 pQFNc_WNU28 BARLEY Hordeum vulgare L. 7067, 6983, 7067, 6983 135 309 WNU29 pUC19g_WNU29 BARLEY Hordeum vulgare L. 136 228 WNU30 pMA-RQ_WNU30_GA 137 229 WNU31 pQFNc_WNU31 BARLEY Hordeum vulgare L. 7033, 6975, 7033, 6975 138 230 WNU32 pMA-RQ_WNU32_GA 139 231 WNU33 pMA-T_WNU33_GA 140 232 WNU34 pUC19c_WNU34 BARLEY Hordeum vulgare L. 7049, 6969, 7049, 6969 141 310 WNU35 pQFNc_WNU35 BARLEY Hordeum vulgare L. 7052, 6933, 7052, 6933 142 234 WNU37 pUC19c_WNU37 BARLEY Hordeum vulgare L. 143 311 WNU38 pUC19c_WNU38 BARLEY Hordeum vulgare L. 7054, 6967, 7054, 6967 144 237 WNU39 pUC19c_WNU39 BARLEY Hordeum vulgare L. 7050, 7007, 7048, 6960 145 238 WNU40 pMA-RQ_WNU40_GA 146 239 WNU41 pQFNc_WNU41 BARLEY Hordeum vulgare L. 7039, 7110, 7078, 7111 147 312 WNU42 pUC19c_WNU42 BARLEY Hordeum vulgare L. 6932, 6931, 6939, 7104 148 241 WNU43 pMA-RQ_WNU43_GA 149 242 WNU44 pUC19c_WNU44 BARLEY Hordeum vulgare L. 7055, 6965, 7088, 6981 150 243 WNU45 TopoB_WNU45 BRACHYPODIUM 7064, 7109, 7071, 7108 151 244 Brachypodiums dis WNU46 pMA-RQ_WNU46_GA 152 245 WNU47 pUC19c_WNU47 BRACHYPODIUM 7091, 6947, 7091, 6947 153 246 Brachypodiums dis WNU49 pQFNc_WNU49 BRACHYPODIUM 7090, 6957, 7090, 6957 154 247 Brachypodiums dis WNU50 pQFNc_WNU50 BRACHYPODIUM 7036, 7116, 7057, 7099 155 313 Brachypodiums dis WNU51 pQFNc_WNU51 BRACHYPODIUM 7059, 7112, 7059, 7112 156 314 Brachypodiums dis WNU52 pMA-T_WNU52_GA 157 250 WNU54 pUC19c_WNU54 FOXTAIL Setaria italica 7081, 6978, 7081, 6978 158 252 WNU55 pQFNc_WNU55 FOXTAIL Setaria italica 7051, 6986, 7075, 6998 159 253 WNU56 pQFNc_WNU56 FOXTAIL Setaria italica 160 254 WNU57 pUC19c_WNU57 FOXTAIL Setaria italica 7076, 7005, 7076, 7005 161 255 WNU58 pQFNc_WNU58 FOXTAIL Setaria italica 7047, 6966, 7047, 6966 162 256 WNU60 pQFNc_WNU60 FOXTAIL Setaria italica 6945, 7117, 6941, 7093 163 257 WNU61 pQFNc_WNU61 FOXTAIL Setaria italica 6944, 7120, 6946, 7119 164 315 WNU63 pQFNc_WNU63 FOXTAIL Setaria italica 7046, 6970, 7046, 6970 165 316 WNU65 pQFNc_WNU65 FOXTAIL Setaria italica 7032, 7004, 7031, 6962 166 260 WNU66 TopoB_WNU66 FOXTAIL Setaria italica 7040, 7013, 7040, 7013 167 261 WNU67 pQFNc_WNU67 FOXTAIL Setaria italica 6940, 6997, 6943, 6958 168 262 WNU68 pQFNc_WNU68 FOXTAIL Setaria italica 7025, 6974, 7025, 6955 169 263 WNU69 pMA_WNU69_GA 170 264 WNU70 pUC19c_WNU70 FOXTAIL Setaria italica 7035, 6948, 7035, 6948 171 265 WNU71 pUC19c_WNU71 FOXTAIL Setaria italica 7063, 6950, 7063, 6950 172 266 WNU72 pUC19c_WNU72 FOXTAIL Setaria italica 7070, 7095, 7083, 7097 173 267 WNU73 pUC19c_WNU73 FOXTAIL Setaria italica 7082, 6935, 7082, 6935 174 268 WNU74 pUC19c_WNU74 FOXTAIL Setaria italica 7084, 7015, 7084, 7015 175 317 WNU75 pUC19c_WNU75 MAIZE Zea mays L. 7028, 6996, 7029, 6999 176 270 WNU76 pUC19g_WNU76 MAIZE Zea mays L. 7023, 7102, 7023, 7102 177 318 WNU77 pQFNc_WNU77 MAIZE Zea mays L. 7037, 7100, 7037, 7100 178 272 WNU78 pUC19g_WNU78 MAIZE Zea mays L. 7021, 6993, 7019, 7001 179 319 WNU80 pQFNc_WNU80 MAIZE Zea mays L. 180 320 WNU81 pUC19c_WNU81 MAIZE Zea mays L. 7065, 7094, 7065, 7094 181 321 WNU82 pQFNc_WNU82 MAIZE Zea mays L. 7026, 6987, 7053, 6963 182 322 WNU83 pQFNc_WNU83 MAIZE Zea mays L. 7066, 7006, 7066, 7006 183 323 WNU85 pQFNc_WNU85 RICE Oryza sativa L. 6977, 6937, 6977, 6937 184 324 WNU87 pUC19c_WNU87 RICE Oryza sativa L. 185 279 WNU90 pMA_WNU90_GA 186 280 WNU91 pQFNc_WNU91 SORGHUM Sorghum bicolor 7020, 6985, 7022, 6979 187 281 WNU92 pUC19c_WNU92 SORGHUM Sorghum bicolor 7027, 6972, 7073, 6956 188 282 WNU93 pMA-RQ_WNU93_GA 189 283 WNU94 pUC19_WNU94 SORGHUM Sorghum bicolor 7034, 6990, 7034, 6990 190 284 WNU96 pQFNc_WNU96 SORGHUM Sorghum bicolor 7038, 6952, 7038, 6952 191 285 WNU97 pUC19c_WNU97 SORGHUM Sorghum bicolor 6968, 6938, 6968, 6938 192 286 WNU98 pUC19c_WNU98 SORGHUM Sorghum bicolor 6942, 7009, 6942, 7009 193 325 WNU99 pUC19g_WNU99 SORGHUM Sorghum bicolor 7017, 7008, 7017, 7008 194 326 WNU100 pQFNc_WNU100 SORGHUM Sorghum bicolor 7061, 7014, 7061, 6971 195 289 WNU101 pQFNc_WNU101 SORGHUM Sorghum bicolor 7079, 6973, 7079, 6973 196 290 WNU102 pMA-RQ_WNU102_GA 197 291 WNU104 pUC19c_WNU104 MAIZE Zea mays L. 7080, 7003, 7042, 6982 198 293 WNU105 pMA-RQ_WNU105_GA 199 294 WNU103_ pMA- 200 295 H11 RQ_WNU103_H11_GA WNU22_H1 TopoB_WNU22_H1 WHEAT Triticum aestivum L. 6988, 7106, 6976, 7105 201 327 “Polyn.”-Polynucleotide; “Polyp.”-polypeptide. For cloning of each gene at least 2 primers were used: Forward (Fwd) or Reverse (Rev). In some cases, 4 primers were used: External forward (EF), External reverse (ER), nested forward (NF) or nested reverse (NR). The sequences of the primers used for cloning the genes are provided in the sequence listing. Some genes were synthetically produced by GeneArt (marked as “GA”).

Example 15 Transforming Agrobacterium tumefaciens Cells with Binary Vectors Harboring Putative Genes

The above described binary vectors were used to transform Agrobacterium cells. Two additional binary constructs, having only the At6669 or the 35S promoter, or no additional promoter were used as negative controls.

The binary vectors were introduced to Agrobacterium tumefaciens GV301 or LB4404 (for Arabidopsis) or AGL1 (for Brachypodium) competent cells (about 10⁹ cells/mL) by electroporation. The electroporation was performed using a MicroPulser electroporator (Biorad), 0.2 cm cuvettes (Biorad) and EC-2 electroporation program (Biorad). The treated cells were cultured in LB liquid medium at 28° C. for 3 hours, then plated over LB agar supplemented with gentamycin (for Arabidopsis; 50 mg/L; for Agrobacterium strains GV301) or streptomycin (for Arabidopsis; 300 mg/L; for Agrobacterium strain LB4404); or with Carbenicillin (for Brachypodium; 50 mg/L) and kanamycin (for Arabidopsis and Brachypodium; 50 mg/L) at 28° C. for 48 hours. Agrobacterium colonies, which were developed on the selective media, were further analyzed by PCR using the primers designed to span the inserted sequence in the pPI plasmid. The resulting PCR products were isolated and sequenced to verify that the correct polynucleotide sequences of the invention are properly introduced to the Agrobacterium cells.

Example 16 Transformation of Arabidopsis thaliana Plants with the Polynucleotides of the Invention

Arabidopsis thaliana Columbia plants (T₀ plants) were transformed using the Floral Dip procedure described by Clough and Bent, 1998 (Floral dip: a simplified method for Agrobacterium-mediated transformation of Arabidopsis thaliana. Plant J 16:735-43) and by Desfeux et al., 2000 (Female Reproductive Tissues Are the Primary Target of Agrobacterium-Mediated Transformation by the Arabidopsis Floral-Dip Method. Plant Physiol, July 2000, Vol. 123, pp. 895-904), with minor modifications. Briefly, To Plants were sown in 250 ml pots filled with wet peat-based growth mix. The pots were covered with aluminum foil and a plastic dome, kept at 4° C. for 3-4 days, then uncovered and incubated in a growth chamber at 18-24° C. under 16/8 hour light/dark cycles. The T₀ plants were ready for transformation six days before anthesis.

Single colonies of Agrobacterium carrying the binary constructs, were generated as described in Examples 14-15 above. Colonies were cultured in LB medium supplemented with kanamycin (50 mg/L) and gentamycin (50 mg/L). The cultures were incubated at 28° C. for 48 hours under vigorous shaking and then centrifuged at 4000 rpm for 5 minutes. The pellets comprising the Agrobacterium cells were re-suspended in a transformation medium containing half-strength (2.15 g/L) Murashige-Skoog (Duchefa); 0.044 μM benzylamino purine (Sigma); 112 μg/L B5 Gambourg vitamins (Sigma); 5% sucrose; and 0.2 ml/L Silwet L-77 (OSI Specialists, CT) in double-distilled water, at pH of 5.7.

Transformation of T₀ plants was performed by inverting each plant into an Agrobacterium suspension, such that the above ground plant tissue is submerged for 3-5 seconds. Each inoculated T₀ plant was immediately placed in a plastic tray, then covered with clear plastic dome to maintain humidity and was kept in the dark at room temperature for 18 hours, to facilitate infection and transformation. Transformed (transgenic) plants were then uncovered and transferred to a greenhouse for recovery and maturation. The transgenic T₀ plants were grown in the greenhouse for 3-5 weeks until siliques were brown and dry. Seeds were harvested from plants and kept at room temperature until sowing.

For generating T₁ and T₂ transgenic plants harboring the genes, seeds collected from transgenic T₀ plants were surface-sterilized by soaking in 70% ethanol for 1 minute, followed by soaking in 5% sodium hypochloride and 0.05% triton for 5 minutes. The surface-sterilized seeds were thoroughly washed in sterile distilled water then placed on culture plates containing half-strength Murashige-Skoog (Duchefa); 2% sucrose; 0.8% plant agar; 50 mM kanamycin; and 200 mM carbenicylin (Duchefa). The culture plates were incubated at 4° C. for 48 hours, then transferred to a growth room at 25° C. for an additional week of incubation. Vital T₁ Arabidopsis plants were transferred to fresh culture plates for another week of incubation. Following incubation the T₁ plants were removed from culture plates and planted in growth mix contained in 250 ml pots. The transgenic plants were allowed to grow in a greenhouse to maturity. Seeds harvested from T₁ plants were cultured and grown to maturity as T₂ plants under the same conditions as used for culturing and growing the T₁ plants.

Example 17 Transformation of Brachypodium Distachyon Plants with the Polynucleotides of the Invention

Similar to the Arabidopsis model plant, Brachypodium distachyon has several features that recommend it as a model plant for functional genomic studies, especially in the grasses. Traits that make it an ideal model include its small genome (˜160 Mbp for a diploid genome and 355 Mbp for a polyploidy genome), small physical stature, a short lifecycle, and few growth requirements. Brachypodium is related to the major cereal grain species but is understood to be more closely related to the Triticeae (wheat, barley) than to the other cereals. Brachypodium, with its polyploidy accessions, can serve as an ideal model for these grains (whose genomics size and complexity is a major barrier to biotechnological improvement).

Brachypodium distachyon embryogenic calli were transformed using the procedure described by Vogel and Hill (2008) [High-efficiency Agrobacterium-mediated transformation of Brachypodium distachyon inbred line Bd21-3. Plant Cell Rep 27:471-478], Vain et al (2008) [Agrobacterium-mediated transformation of the temperate grass Brachypodium distachyon (genotypeBd21) for T-DNA insertional mutagenesis. Plant Biotechnology J 6: 236-245], and Vogel J, et al. (2006) [Agrobacterium mediated transformation and inbred line development in the model grass Brachypodium distachyon. Plant Cell Tiss Org. Cult. 85:199-211], each of which is fully incorporated herein by reference, with some minor modifications, which are briefly summarized hereinbelow. Callus initiation—Immature spikes (about 2 months after seeding) were harvested at the very beginning of seeds filling. Spikes were then husked and surface sterilized with 3% NaClO containing 0.1% Tween 20, shaked on a gyratory shaker at low speed for 20 minutes. Following three rinses with sterile distilled water, embryos were excised under a dissecting microscope in a laminar flow hood using fine forceps.

Excised embryos (size ˜0.3 mm, bell shaped) were placed on callus induction medium (CIM) [LS salts (Linsmaier, E. M. & Skoog, F. 1965. Physiol. Plantarum 18, 100) and vitamins plus 3% sucrose, 6 mg/L CuSO₄, 2.5 mg/l 2,4-Dichlorophenoxyacetic Acid, pH 5.8 and 0.25% phytagel (Sigma)] scutellar side down, 100 embryos on a plate, and incubated at 28° C. in the dark. One week later, the embryonic calli was cleaned from emerging roots, shoots and somatic calli, and was subcultured onto fresh CIM medium. During culture, yellowish embryogenic callus (EC) appeared and were further selected (e.g., picked and transferred) for further incubation in the same conditions for additional 2 weeks. Twenty-five pieces of sub-cultured calli were then separately placed on 90×15 mm petri plates, and incubated as before for three additional weeks.

Transformation—As described in Vogel and Hill (2008, Supra), Agrobacterium was scraped off 2-day-old MGL plates (plates with the MGL medium which contains: Tryptone 5 g/l, Yeast Extract 2.5 g/l, NaCl 5 g/l, D-Mannitol 5 g/l, MgSO₄*7H₂O 0.204 g/l, K₂HPO₄ 0.25 g/l, Glutamic Acid 1.2 g/l, Plant Agar 7.5 g/l) and resuspended in liquid MS medium supplemented with 200 μM acetosyringone to an optic density (OD) at 600 nm (OD₆₀₀) of 0.6. Once the desired OD was attained, 1 ml of 10% Synperonic PE/F68 (Sigma) per 100 ml of inoculation medium was added.

To begin inoculation, 300 callus pieces were placed in approximately 12 plates (25 callus pieces in each plate) and covered with the Agrobacterium suspension (8-8.5 ml). The callus was incubated in the Agrobacterium suspension for 15 minutes with occasional gentle rocking. After incubation, the Agrobacterium suspension was aspirated off and the calli were then transferred into co-cultivation plates, prepared by placing a sterile 7-cm diameter filter paper in an empty 90×15 mm petri plate. The calli pieces were then gently distributed on the filter paper. One co-cultivation plate was used for two starting callus plates (50 initial calli pieces). The co-cultivation plates were then sealed with parafilm and incubated at 22° C. in the dark for 3 days.

The callus pieces were then individually transferred onto CIM medium as described above, which was further supplemented with 200 mg/l Ticarcillin (to kill the Agrobacterium) and Bialaphos (5 mg/L) (for selection of the transformed resistant embryogenic calli sections), and incubated at 28° C. in the dark for 14 days.

The calli pieces were then transferred to shoot induction media (SIM; LS salts and vitamins plus 3% Maltose monohydrate) supplemented with 200 mg/l Ticarcillin, Bialaphos (5 mg/L), Indol-3-acetic acid (IAA) (0.25 mg/L), and 6-Benzylaminopurine (BAP) (1 mg/L), and were sub-cultured in light to the same media after 10 days (total of 20 days). At each sub-culture all the pieces from a single callus were kept together to maintain their independence and were incubated under the following conditions: lighting to a level of 60 lE m-2 s-1, a 16-h light, 8-h dark photoperiod and a constant 24° C. temperature. Plantlets emerged from the transformed calli.

When plantlets were large enough to handle without damage, they were transferred to plates containing the above mentioned shoot induction media (SIM) without Bialaphos. Each plantlet was considered as a different event. The plantlets grew axillary tillers and eventually became bushy. Each bush from the same plant (event ID) was then divided to tissue culture boxes (“Humus”) containing “rooting medium” [MS basal salts, 3% sucrose, 3 g/L phytagel, 2 mg/l α-Naphthalene Acetic Acid (NAA) and 1 mg/L IAA and Ticarcillin 200 mg/L, PH 5.8). All plants in a “Humus box” were different plants of the same transformation event.

When plantlets established roots they were transplanted to soil and transferred to a greenhouse. To verify the transgenic status of plants containing the other constructs, T0 plants were subjected to PCR as previously described by Vogel et al. 2006 [Agrobacterium mediated transformation and inbred line development in the model grass Brachypodium distachyon. Plant Cell Tiss Org. Cult. 85:199-211].

Example 18 Evaluating Transgenic Arabidopsis NUE Under Low or Normal Nitrogen Conditions Using Seedling Assays

Assay 1: Plant Growth Under Low and Favorable Nitrogen Concentration Levels

Surface sterilized seeds were sown in basal media [50% Murashige-Skoog medium (MS) supplemented with 0.8% plant agar as solidifying agent] in the presence of Kanamycin (used as a selecting agent). After sowing, plates were transferred for 2-3 days for stratification at 4° C. and then grown at 25° C. under 12-hour light 12-hour dark daily cycles for 7 to 10 days. At this time point, seedlings randomly chosen were carefully transferred to plates containing ½ MS media (15 mM N) for the normal nitrogen concentration treatment and 0.30 mM nitrogen for the low nitrogen concentration treatments. For experiments performed in T₂ lines, each plate contained 5 seedlings of the same transgenic event, and 3-4 different plates (replicates) for each event. For each polynucleotide of the invention at least four-five independent transformation events were analyzed from each construct. For experiments performed in T₁ lines, each plate contained 5 seedlings of 5 independent transgenic events and 3-4 different plates (replicates) were planted. In total, for T₁ lines, 20 independent events were evaluated. Plants expressing the polynucleotides of the invention were compared to the average measurement of the control plants (empty vector or GUS reporter gene under the same promoter) used in the same experiment.

Digital imaging—A laboratory image acquisition system, which consists of a digital reflex camera (Canon EOS 300D) attached with a 55 mm focal length lens (Canon EF-S series), mounted on a reproduction device (Kaiser RS), which includes 4 light units (4×150 Watts light bulb) and located in a darkroom, was used for capturing images of plantlets sawn in agar plates.

The image capturing process was repeated every 3-4 days starting at day 1 till day 10 (see for example the images in FIGS. 3A-3B). An image analysis system was used, which consists of a personal desktop computer (Intel P4 3.0 GHz processor) and a public domain program—ImageJ 1.39 [Java based image processing program which is developed at the U.S. National Institutes of Health and freely available on the internet at rsbweb (dot) nih (dot) gov/]. Images were captured in resolution of 10 Mega Pixels (3888×2592 pixels) and stored in a low compression JPEG (Joint Photographic Experts Group standard) format. Next, analyzed data was saved to text files and processed using the JMP statistical analysis software (SAS institute).

Seedling analysis—Using the digital analysis seedling data was calculated, including leaf area, root coverage and root length.

The relative growth rate for the various seedling parameters was calculated according to Formulas XIII (Relative growth rate of leaf area), XII (Relative growth rate of leaf blade area) and VI (Relative growth rate of root length) as described above.

At the end of the experiment, plantlets were removed from the media and weighed for the determination of plant fresh weight. Plantlets were then dried for 24 hours at 60° C., and weighed again to measure plant dry weight for later statistical analysis. Growth rate was determined by comparing the leaf area coverage, root coverage and root length, between each couple of sequential photographs, and results were used to resolve the effect of the gene introduced on plant vigor under optimal conditions. Similarly, the effect of the gene introduced on biomass accumulation, under optimal conditions, was determined by comparing the plants' fresh and dry weight to that of control plants (containing an empty vector or the GUS reporter gene under the same promoter). From every construct created, 3-5 independent transformation events were examined in replicates.

Statistical analyses—To identify genes conferring significantly improved plant vigor or enlarged root architecture, the results obtained from the transgenic plants were compared to those obtained from control plants that were grown under identical growth conditions. To identify outperforming genes and constructs, results from the independent transformation events tested were analyzed separately. To evaluate the effect of a gene event over a control the data was analyzed by Student's t-test and the p value was calculated. Results were considered significant if p≤0.1. The JMP statistics software package was used (Version 5.2.1, SAS Institute Inc., Cary, N.C., USA).

Experimental Results:

The genes presented in the following Tables were cloned under the regulation of a constitutive promoter (At6669). Evaluation of the effect of transformation in a plant of each gene was carried out by testing the performance of different number of transformation events. Some of the genes were evaluated in more than one seedling assay. The results obtained in these second experiments were significantly positive as well. Event with p-value<0.1 was considered statistically significant. The genes presented in Tables 76-78 showed a significant improvement in plant

NUE since they produced larger plant biomass (plant fresh and dry weight; leaf area, root length and root coverage) in T2 generation (Tables 76-77) or T1 generation (Table 78) when grown under limiting nitrogen growth conditions, compared to control plants that were grown under identical growth conditions. Plants producing larger root biomass have better possibilities to absorb larger amount of nitrogen from soil.

TABLE 76 Genes showing improved plant performance at nitrogen deficient conditions (T2 generation) Dry Weight [mg] Fresh Weight [mg] P- % P- % Gene Name Event # Ave. Val. Incr. Ave. Val. Incr. WNU9 76615.4 5.33 0.10 34 128.6  0.12 51 WNU41 79012.2 5.12 0.05 29 — — — WNU41 79012.4 4.72 0.02 19 — — — WNU41 79013.1 5.05 0.05 27 98.0 0.25 15 WNU31 75790.2 — — — 115.7  0.24 36 WNU20 78340.5 — — — 131.1  0.07 54 CONT. — 3.97 — — 85.3 — — WNU96 75816.4 6.25 L 80 95.7 L 40 WNU96 75818.9 4.07 0.21 17 85.4 0.29 25 WNU93  76607.13 — — — 83.4 0.20 22 WNU93 76607.9 4.80 0.02 38 86.7 0.15 27 WNU93 76609.3 5.03 0.04 45 106.9  0.06 57 WNU93 76609.4 3.98 0.26 15 89.3 0.19 31 WNU8 77116.2 4.05 0.05 17 — — — WNU8 77117.9 3.98 0.23 15 — — — WNU76 77092.1 4.73 0.13 36 86.0 0.07 26 WNU76 77092.3 4.07 0.25 17 — — — WNU76 77095.2 4.72 0.03 36 94.8 0.08 39 WNU49 75796.8 4.35 0.13 25 92.2 0.22 35 WNU49 75797.3 3.98 0.22 15 81.4 0.25 19 WNU49 75799.6 — — — 81.5 0.29 20 WNU40 78091.1 4.55 0.02 31 88.2 0.22 29 WNU40 78092.5 4.30 0.22 24 117.1  0.22 72 WNU40 78095.5 4.63 L 34 — — — WNU37 77766.2 4.47 0.21 29 102.5  0.15 50 WNU37 77767.1 4.10 0.06 18 109.2  0.07 60 WNU37 77767.3 5.58 0.02 61 105.6  0.01 55 WNU23 78341.3 4.25 0.16 22 83.0 0.17 22 WNU23 78341.7 4.00 0.18 15 — — — WNU23 78343.1 4.43 0.06 28 102.6  0.05 50 WNU23 78344.2 4.12 0.18 19 88.9 0.12 30 WNU102  76549.12 4.72 L 36 95.5 0.21 40 WNU102 76550.4 5.10 L 47 107.5  0.03 58 WNU100 77989.3 4.58 0.09 32 94.5 0.02 39 WNU100 78026.6 4.05 0.18 17 — — — WNU100 78029.3 4.17 0.03 20 — — — CONT. — 3.47 — — 68.2 — — WNU70 78102.7 4.00 0.07 33 68.0 0.04 39 WNU70 78104.1 4.37 0.21 46 67.1 0.29 37 WNU61 78014.1 3.70 0.15 23 — — — WNU61 78014.2 4.25 0.20 42 66.4 0.10 36 WNU61  78015.10 3.47 0.20 16 56.2 0.21 15 WNU6 76542.5 6.58 0.02 119  108.0  0.05 121  WNU6 76544.1 4.25 0.02 42 66.1 0.05 35 WNU6 76544.4 6.27 0.15 109  — — — WNU55 77632.3 5.93 0.04 98 63.2 0.05 29 WNU55 77632.6 5.40 0.02 80 67.5 0.03 38 WNU51 79018.6 3.60 0.14 20 — — — WNU51 79019.2 — — — 58.5 0.11 20 WNU11 76397.2 4.00 0.25 33 61.8 0.19 27 WNU105 77261.2 4.37 0.05 46 — — — WNU105 77261.4 3.52 0.21 18 56.1 0.24 15 CONT. — 4.39 — — 71.2 — — WNU91 76213.2 — — — 93.1 0.19 14 WNU91 76213.4 4.88 0.02 30 102.7  0.02 26 WNU70 78104.1 4.92 0.04 31 96.2 0.08 18 WNU70 78104.3 5.05 0.12 35 119.0  0.06 46 WNU70 78104.4 4.47 0.16 19 99.9 0.16 23 WNU14 77113.9 — — — 96.6 0.10 19 WNU11 76397.2 5.25 0.02 40 126.4  0.07 55 WNU105 77261.4 4.55 0.20 21 96.5 0.08 19 CONT. — 3.75 — — 81.4 — — WNU99 77099.4 — — — 41.5 0.28 17 WNU99 77100.3 3.43 0.01 39 47.8 L 34 WNU98 77462.4 3.35 0.01 36 51.8 L 46 WNU97 77181.4 3.30 L 34 49.8 0.06 40 WNU97 77182.2 3.15 0.10 28 48.0 L 35 WNU94 78108.3 3.08 0.05 25 44.9 0.01 26 WNU94 78109.1 2.90 0.26 18 — — — WNU94 78110.3 — — — 47.3 0.17 33 WNU9 76612.1 — — — 43.1 0.22 21 WNU9 76615.6 3.73 L 52 54.1 L 52 WNU83 75821.8 3.08 0.04 25 49.2 L 39 WNU83  75823.10 3.28 0.05 33 48.7 0.05 37 WNU83 75824.4 — — — 42.6 0.09 20 WNU81 78097.2 3.40 0.03 38 55.5 L 56 WNU81 78097.5 3.15 0.06 28 45.1 0.08 27 WNU81 78098.2 — — — 42.1 0.08 19 WNU5 76044.2 3.17 0.09 29 42.7 0.19 20 WNU5 76045.7 3.05 0.09 24 — — — WNU46 77021.3 3.40 L 38 45.3 0.08 28 WNU46 77022.1 3.02 0.14 23 41.6 0.10 17 WNU46 77024.3 — — — 49.6 0.12 40 WNU43 77270.2 3.32 0.02 35 46.4 L 31 WNU41 79012.2 3.55 0.15 44 — — — WNU41 79012.4 4.13 L 68 54.3 0.02 53 WNU41 79013.1 2.98 0.07 21 44.8 0.10 26 WNU38 76594.5 3.25 0.05 32 51.2 0.17 44 WNU38  76595.11 — — — 41.9 0.21 18 WNU35 75793.1 3.32 0.02 35 48.3 0.05 36 WNU31 75786.3 3.35 0.15 36 47.6 0.15 34 WNU31 75790.2 3.45 0.10 40 46.0 0.06 30 WNU31 75790.7 3.10 0.14 26 53.5 0.05 51 WNU20 78336.5 2.95 0.07 20 41.2 0.23 16 WNU20 78340.1 3.15 0.05 28 46.3 0.07 30 WNU20 78340.5 3.00 0.16 22 54.9 0.09 55 WNU17 76556.4 — — — 40.8 0.17 15 WNU17 76557.4 2.85 0.15 16 40.7 0.22 15 WNU17 76559.1 3.02 0.23 23 — — — CONT. — 2.46 — — 35.5 — — WNU103_H11 78347.1 4.4    0.18126 26 — — — WNU103_H11 78346.4 — — — 107.15   0.11509 57 WNU22_H1 79403.1  3.925   0.119338 13  90.55   0.200901 32 WNU22_H1 79405.2  4.775   0.085495 37  103.375   0.194248 51 CONT. — 3.47 — —  68.18 — — Table 76: “CONT.”—Control; “Ave.”—Average; “% Incr.” = % increment; “p-val.”—p-value; L means that p-value is less than 0.01, p < 0.1 was considered as significant.

TABLE 77 Genes showing improved plant performance at nitrogen deficient conditions (T2 generation) Leaf Area [cm²] Roots Coverage [cm²] Roots Length [cm] P- % P- % P- % Gene Name Event # Ave. Val. Incr. Ave. Val. Incr. Ave. Val. Incr. WNU98 77462.2 0.457 0.15 13 — — — 7.03 L 11 WNU98 77462.4 — — — — — — 6.71 0.10  6 WNU98  77463.13 0.437 0.27  8 — — — — — — WNU98 77465.1 0.468 0.08 16 11.2  0.02 23 6.68 0.28  6 WNU97 77182.2 0.448 0.01 11 10.8  0.29 18 6.83 0.02  8 WNU94 78108.3 — — — 11.7  0.04 27 7.13 0.05 13 WNU9 76612.1 — — — — — — 6.79 0.19  8 WNU9 76615.6 — — — — — — 6.81 0.02  8 WNU83 75821.7 — — — — — — 6.77 0.05  7 WNU83  75823.10 — — — — — — 6.67 0.22  6 WNU83 75824.4 — — — — — — 6.64 0.05  5 WNU81 78098.2 — — — — — — 6.85 0.10  9 WNU41 79012.1 — — — — — — 6.99 0.12 11 WNU41 79012.2 0.468 L 16 14.8  L 61 7.37 L 17 WNU41 79012.4 0.472 0.15 17 — — — 6.74 0.07  7 WNU41 79013.1 0.458 0.14 13 10.3  0.02 13 6.74 0.08  7 WNU38  76595.11 0.442 0.16  9 — — — 6.89 0.09  9 WNU31 75790.2 0.477 0.08 18 10.8  0.12 18 6.77 0.05  7 WNU31 75790.7 — — — 11.9  0.28 30 — — — WNU31 75790.8 — — — — — — 6.78 0.03  7 WNU20 78339.2 0.459 0.10 14 — — — 7.07 L 12 WNU20 78340.1 — — — 10.4  0.13 13 7.20 0.02 14 WNU20 78340.5 0.468 0.09 16 11.8  L 29 7.44 L 18 WNU17 76556.3 0.464 0.02 15 12.5  0.02 37 7.38 L 17 WNU17 76557.4 — — — — — — 6.82 0.15  8 CONT. — 0.404 — — 9.15 — — 6.30 — — WNU96 75816.4 0.444 0.02 39 11.4  L 58 7.01 L 18 WNU96 75818.9 0.366 0.19 15 8.28 0.23 15 6.63 0.04 12 WNU96 75820.6 — — — — — — 6.86 L 16 WNU96 75820.7 0.365 0.10 15 — — — — — — WNU93  76607.13 0.403 0.02 26 10.6  L 48 7.09 L 20 WNU93 76607.9 0.386 0.05 21 9.08 0.15 26 — — — WNU93 76609.3 0.407 0.11 28 9.62 0.21 34 7.04 0.03 19 WNU8 77117.1 0.369 0.19 16 8.70 0.06 21 6.35 0.21  7 WNU8 77117.9 0.359 0.19 12 — — — — — — WNU76  77091.10 — — — 8.32 0.24 16 — — — WNU76 77092.1 0.452 0.07 42 — — — — — — WNU76 77095.2 0.368 0.25 15 9.56 0.05 33 6.38 0.24  8 WNU49 75796.8 0.399 0.03 25 8.38 0.09 17 — — — WNU49 75797.3 0.359 0.13 13 — — — 6.28 0.23  6 WNU49 75799.6 0.369 0.26 16 — — — — — — WNU49 75799.7 — — — — — — 6.42 0.09  8 WNU40 78091.1 0.392 L 23 — — — — — — WNU40 78092.5 0.373 0.02 17 10.3  L 44 6.45 0.09  9 WNU40 78095.5 0.374 0.28 17 — — — — — — WNU37 77766.2 0.402 0.03 26 9.28 0.14 29 — — — WNU37 77767.1 0.391 0.12 23 9.33 0.06 30 6.77 0.11 14 WNU37 77767.3 0.397 0.07 24 11.0  0.02 53 6.85 0.06 15 WNU23 78341.3 0.397 0.01 24 — — — 6.38 0.12  8 WNU23 78341.7 0.355 0.10 11 8.16 0.21 14 6.60 0.16 11 WNU23 78343.1 0.428 0.01 34 9.83 0.08 37 7.22 L 22 WNU23 78344.2 0.408 L 28 — — — 6.73 0.02 13 WNU102  76549.12 0.442 L 38 12.1  L 68 6.75 0.03 14 WNU102 76550.4 0.444 L 39 12.5  L 74 7.26 0.01 22 WNU100 77989.3 0.414 0.01 30 8.90 0.05 24 6.83 L 15 WNU100 77990.2 — — — — — — 6.54 0.15 10 WNU100 78026.6 0.379 0.06 19 — — — — — — WNU100 78029.3 0.350 0.16 10 10.1  0.01 40 6.67 0.03 12 CONT. — 0.319 — — 7.18 — — 5.93 — — WNU91 76213.2 — — — — — — 5.87 0.23  7 WNU91 76213.4 0.373 0.17 11 — — — 5.93 0.17  8 WNU91 76215.5 — — — — — — 5.93 0.05  8 WNU70 78102.7 0.411 0.10 22 8.73 0.01 51 6.85 L 25 WNU70 78104.1 0.416 0.09 24 7.75 0.02 34 — — — WNU70 78104.3 — — — — — — 6.20 0.02 13 WNU61 78014.1 0.370 0.07 10 6.50 0.20 13 5.88 L  7 WNU61 78014.2 0.404 0.14 20 8.59 0.16 49 5.87 0.18  7 WNU61  78015.10 0.380 0.05 13 6.35 0.20 10 5.97 0.08  9 WNU6 76542.5 0.459 0.05 37 12.6  0.04 119  6.83 0.02 24 WNU6 76544.1 0.435 L 29 7.58 L 31 6.30 L 15 WNU55 77632.3 0.419 L 25 7.55 0.04 31 — — — WNU55 77632.6 0.389 0.04 16 8.23 0.05 43 5.95 0.24  8 WNU55 77634.1 0.351 0.24  5 — — — — — — WNU51 79018.6 0.388 0.11 16 7.32 0.15 27 5.93 0.02  8 WNU51 79019.2 0.377 0.11 12 7.13 0.15 24 — — — WNU11 76397.2 0.401 0.15 19 7.72 0.10 34 6.28 0.23 14 WNU11 76400.2 0.389 0.09 16 — — — — — — WNU105 77261.2 0.461 L 37 10.6  0.02 83 6.91 L 26 WNU105 77263.4 0.396 0.19 18 7.63 0.29 32 — — — CONT. — 0.336 — — 5.77 — — 5.50 — — WNU91 76211.4 0.428 0.21 14 — — — 6.61 0.30  9 WNU91 76213.2 0.464 L 23 9.57 0.10 27 7.10 L 18 WNU91 76213.4 0.513 L 36 12.3  L 64 7.32 L 21 WNU70 78104.1 0.446 0.04 19 9.87 0.04 31 — — — WNU70 78104.3 0.505 0.03 34 11.8  0.04 57 7.43 L 23 WNU70 78104.4 0.518 L 38 9.26 0.14 23 6.70 0.04 11 WNU7 77772.3 — — — 8.96 0.06 19 — — — WNU6 76544.1 — — — 8.82 0.20 18 7.23 0.02 20 WNU6 76544.4 — — — — — — 6.44 0.20  7 WNU42 76597.1 0.423 0.03 12 — — — — — — WNU42 76598.1 0.423 0.15 12 9.01 0.09 20 6.54 0.18  8 WNU34 76588.5 — — — — — — 6.44 0.19  7 WNU14  77113.11 0.439 0.07 17 9.47 0.20 26 — — — WNU14 77113.4 — — — — — — 6.38 0.28  6 WNU14 77113.9 0.432 0.02 15 — — — — — — WNU11 76397.2 0.546 L 45 10.9  L 45 7.49 L 24 WNU11 76398.1 0.413 0.14 10 — — — — — — WNU11 76399.1 — — — — — — 6.48 0.19  7 WNU11 76400.2 0.423 0.02 12 8.45 0.21 12 — — — WNU105 77261.4 0.472 L 26 9.22 0.10 23 6.67 0.15 10 CONT. — 0.376 — — 7.51 — — 6.04 — — WNU99 77100.3 0.395 L 30 — — — — — — WNU98 77462.4 0.390 0.01 28 6.49 0.21 11 6.24 0.27  9 WNU97 77181.4 0.389 0.02 28 — — — — — — WNU97 77182.2 0.359 0.10 18 7.05 0.21 21 — — — WNU94 78108.3 0.378 0.01 24 6.74 0.18 15 6.24 0.11  9 WNU94 78110.3 0.347 0.10 14 — — — — — — WNU9 76612.1 0.377 0.04 24 6.50 0.12 11 6.45 0.03 12 WNU9 76615.4 — — — — — — 6.27 0.26  9 WNU9 76615.6 0.378 0.10 24 7.05 0.26 20 — — — WNU83 75821.8 0.395 L 30 — — — — — — WNU83  75823.10 0.376 0.05 23 — — — — — — WNU81 78097.2 0.391 0.01 28 7.15 0.14 22 6.34 0.13 11 WNU81 78097.5 0.374 0.07 23 — — — — — — WNU5 76044.2 0.358 0.11 18 6.69 0.08 14 6.45 0.04 12 WNU5 76045.7 0.383 0.12 26 — — — 6.49 0.12 13 WNU46 77021.3 0.337 0.20 10 — — — — — — WNU46 77024.3 0.339 0.30 11 7.03 0.20 20 6.55 0.04 14 WNU41 79012.2 0.337 0.28 11 — — — — — — WNU41 79012.4 0.434 L 42 7.55 0.03 29 6.21 0.14  8 WNU41 79013.1 0.354 0.07 16 — — — — — — WNU38 76594.5 0.396 0.06 30 7.15 0.12 22 — — — WNU38  76595.11 0.362 0.13 19 6.88 0.26 17 6.35 0.09 11 WNU35 75793.1 0.389 L 28 — — — — — — WNU31 75786.3 0.397 L 30 6.74 0.08 15 — — — WNU31 75790.2 0.424 L 39 7.27 0.19 24 6.35 0.10 11 WNU31 75790.7 0.397 0.02 30 — — — — — — WNU20 78336.5 0.335 0.29 10 — — — — — — WNU20 78340.1 0.399 L 31 7.45 L 27 6.62 0.02 15 WNU20 78340.5 0.366 0.03 20 7.29 0.09 24 6.36 0.13 11 CONT. — 0.305 — — 5.85 — — 5.74 — — WNU103_H11 78346.4 0.399  0.024 25 9.27 0.09 29 6.90  0.008 16 WNU103_H11 78347.1 — — — 8.98 0.12 25 — — — WNU22_H1 79403.1 0.359  0.246 13 — — — 6.40  0.253  8 WNU22_H1 79405.2 0.389  0.023 22 8.36 0.28 16 — — — WNU22_H1 79464.2 0.381  0.090 20 8.63 0.26 20 6.57  0.124 11 CONT. — 0.319 — — 7.18 — — 5.93 — — Table 77: “CONT.”—Control; “Ave.”—Average; “% Incr.” = % increment; “p-val.”—p-value; L means that p-value is less than 0.01, p < 0.1 was considered as significant.

TABLE 78 Genes showing improved plant performance at nitrogen deficient conditions (T1 generation) Dry Weight [mg] Gene Name Ave. P-Val. % Incr. WNU90 6.35 0.09 25 WNU1 6.00 0.10 18 CONT. 5.07 — — “CONT.”-Control; “Ave.”-Average; “% Incr.” = % increment. “p-val.”-p-value; L means that p-value is less than 0.01, p < 0.1 was considered as significant.

The genes listed in Table 79 have improved plant relative growth rate (relative growth rate of the leaf area, root coverage and root length) when grown under limiting nitrogen growth conditions, compared to control plants (T2 generation) that were grown under identical growth conditions. Plants showing fast growth rate show a better plant establishment in soil under nitrogen deficient conditions. Faster growth was observed when growth rate of leaf area, root length and root coverage was measured.

TABLE 79 Genes showing improved plant growth rate at nitrogen deficient conditions (T2 generation) RGR Of Roots RGR Of Root RGR Of Leaf Area Coverage Length P- % P- % P- % Gene Name Event # Ave. Val. Incr Ave. Val. Incr Ave. Val. Incr WNU98 77462.2 0.0444 0.16 16 — — — — — — WNU98 77465.1 0.0446 0.11 17 1.33 0.03 22 — — — WNU97 77182.2 — — — 1.28 0.12 17 — — — WNU94 78108.3 — — — 1.37 0.02 25 0.630 0.21 11 WNU83 75821.7 — — — — — — 0.619 0.25  9 WNU81 78098.2 0.0427 0.27 12 — — — — — — WNU41 79012.2 — — — 1.75 L 61 0.620 0.25  9 WNU41 79012.4 0.0443 0.15 16 — — — — — — WNU41 79013.1 — — — 1.23 0.17 12 — — — WNU38  76595.11 0.0425 0.27 11 — — — — — — WNU31 75790.2 — — — 1.25 0.13 15 — — — WNU31 75790.7 — — — 1.41 0.05 30 — — — WNU20 78339.2 0.0429 0.24 12 — — — — — — WNU20 78340.5 — — — 1.37 L 26 — — — WNU17 76556.3 — — — 1.47 L 35 — — — WNU17 76559.1 — — — 1.25 0.20 15 — — — CONT. — 0.0383 — — 1.09 — — 0.569 — — WNU96 75816.4 0.0358 0.25 18 1.34 L 55 0.604 0.27 13 WNU96 75820.6 — — — — — — 0.612 0.19 14 WNU93  76607.13 0.0382 0.11 26 1.27 L 46 — — — WNU93 76607.9 — — — 1.08 0.16 25 — — — WNU93 76609.3 0.0377 0.16 24 1.13 0.11 31 0.601 0.29 12 WNU8 77117.1 — — — 1.03 0.30 19 — — — WNU76 77092.1 0.0413 0.05 36 — — — — — — WNU76 77095.2 — — — 1.13 0.07 30 — — — WNU49 75796.8 0.0370 0.16 22 — — — — — — WNU40 78091.1 0.0371 0.14 22 — — — — — — WNU40 78092.5 — — — 1.25 0.01 44 — — — WNU37 77766.2 0.0370 0.16 22 1.12 0.09 30 — — — WNU37 77767.1 0.0369 0.19 22 1.09 0.12 27 — — — WNU37 77767.3 0.0368 0.17 21 1.32 L 52 0.612 0.22 14 WNU23 78341.7 0.0354 0.27 17 — — — 0.603 0.28 13 WNU23 78343.1 0.0408 0.05 34 1.17 0.07 35 0.648 0.10 21 WNU23 78344.2 0.0365 0.18 20 — — — — — — WNU102  76549.12 0.0418 0.02 38 1.44 L 67 — — — WNU102 76550.4 0.0423 0.01 39 1.48 L 71 0.605 0.26 13 WNU100 77989.3 0.0385 0.08 27 1.03 0.21 19 — — — WNU100 78026.6 0.0362 0.22 19 — — — — — — WNU100 78029.3 — — — 1.21 0.02 40 0.615 0.18 15 CONT. — 0.0304 — —  0.865 — — 0.535 — — WNU91 76213.4 0.0353 0.27 13 — — — 0.553 0.04 17 WNU70 78102.7 0.0373 0.17 19 1.02 L 51 0.577 L 22 WNU70 78104.1 0.0388 0.06 24  0.934 0.04 39 0.568 0.09 20 WNU70 78104.3 — — — — — — 0.566 0.01 20 WNU61 78014.1 0.0358 0.19 15  0.784 0.29 16 0.551 0.02 16 WNU61 78014.2 — — — 1.02 0.03 51 0.525 0.18 11 WNU61  78015.10 0.0366 0.12 17 — — — 0.536 0.10 13 WNU6 76542.5 0.0402 0.04 29 1.49 L 121  0.553 0.08 17 WNU6 76544.1 0.0369 0.11 18  0.893 0.04 32 0.531 0.09 12 WNU55 77632.3 — — —  0.902 0.06 34 — — — WNU55 77632.6 — — —  0.958 0.02 42 — — — WNU51 79018.6 0.0370 0.14 18  0.892 0.07 32 0.580 L 22 WNU51 79019.2 0.0353 0.29 13  0.861 0.12 28 0.544 0.08 15 WNU11 76397.2 0.0360 0.29 15  0.912 0.06 35 0.534 0.28 13 WNU11 76398.1 — — — — — — 0.518 0.25 10 WNU105 77261.2 0.0408 0.01 30 1.25 L 86 0.602 L 27 WNU105 77263.4 0.0377 0.14 20  0.920 0.10 36 0.544 0.11 15 CONT. — 0.0313 — —  0.674 — — 0.473 — — WNU91 76211.4 — — — 1.08 0.18 21 0.606 0.29 10 WNU91 76213.2 0.0443 0.12 21 1.12 0.06 26 — — — WNU91 76213.4 0.0466 0.05 28 1.46 L 63 0.640 0.02 16 WNU70 78104.1 — — — 1.18 0.02 32 — — — WNU70 78104.3 0.0461 0.07 26 1.39 L 56 0.634 0.05 15 WNU70 78104.4 0.0457 0.06 25 1.11 0.08 24 0.622 0.07 13 WNU7 77772.3 — — — 1.08 0.11 21 — — — WNU7 77775.1 — — — 1.06 0.26 19 — — — WNU6 76544.1 0.0425 0.25 17 1.05 0.20 17 0.643 0.03 17 WNU42 76598.1 0.0426 0.24 17 1.07 0.13 20 0.599 0.25  9 WNU14  77113.11 — — — 1.11 0.10 24 — — — WNU11 76397.2 0.0504 L 38 1.29 L 44 0.626 0.08 13 WNU105 77261.4 0.0446 0.11 22 1.09 0.10 22 — — — CONT. — 0.0365 — —  0.893 — — 0.552 — — WNU99 77100.3 0.0366 0.10 27 — — — — — — WNU97 77181.4 0.0386 0.06 34 — — — 0.559 0.12 17 WNU97 77182.2 0.0348 0.21 21  0.837 0.17 21 — — — WNU94 78108.3 0.0367 0.09 27  0.798 0.24 15 — — — WNU94 78110.3 0.0339 0.26 18 — — — — — — WNU9 76612.1 0.0358 0.16 24 — — — 0.573 0.06 20 WNU9 76615.6 0.0345 0.27 20  0.838 0.16 21 — — — WNU83 75821.8 0.0370 0.08 29 — — — 0.546 0.18 14 WNU81 78097.2 0.0370 0.09 28  0.850 0.11 23 0.543 0.24 13 WNU81 78097.5 0.0360 0.15 25 — — — — — — WNU5 76044.2 0.0356 0.17 24  0.789 0.26 14 0.532 0.27 11 WNU5 76045.7 0.0381 0.09 32  0.824 0.20 19 0.560 0.15 17 WNU46 77024.3 0.0339 0.28 18  0.825 0.17 19 0.535 0.28 12 WNU41 79012.4 0.0420 0.01 46  0.894 0.05 29 — — — WNU41 79013.1 0.0347 0.20 20 — — — — — — WNU38 76594.5 0.0388 0.06 35  0.851 0.11 23 0.536 0.30 12 WNU38  76595.11 0.0359 0.17 25  0.811 0.23 17 — — — WNU35 75793.1 0.0363 0.11 26 — — — 0.576 0.06 20 WNU31 75786.3 0.0361 0.11 25  0.803 0.18 16 — — — WNU31 75790.2 0.0371 0.10 29  0.863 0.11 25 0.580 0.06 21 WNU31 75790.7 0.0374 0.10 30 — — — — — — WNU20 78336.5 — — — — — — 0.547 0.19 14 WNU20 78340.1 0.0384 0.05 33  0.879 0.03 27 0.574 0.06 20 WNU20 78340.5 0.0345 0.23 20  0.866 0.08 25 — — — CONT. — 0.0288 — —  0.692 — — 0.479 — — WNU103_H11 78346.4 0.0378  0.117 24  1.117  0.088 29 0.604  0.252 13 WNU103_H11 78347.1 — — —  1.053  0.203 22 — — — WNU22_H1 79464.2 — — —  1.035  0.250 20 — — — CONT. — 0.030 — —  0.865 — — 0.535 — — Table 79: “CONT.”—Control; “Ave.”—Average; “% Incr.” = % increment; “p-val.”—p-value; L means that p-value is less than 0.01, p < 0.1 was considered as significant.

The genes listed in Tables 80-83 improved plant NUE when grown at standard nitrogen concentration levels. These genes produced larger plant biomass (plant fresh and dry weight; leaf area, root coverage and roots length) when grown under standard nitrogen growth conditions, compared to control plants that were grown under identical growth conditions in T2 (Tables 80-81) and T1 (Tables 82-83) generations. Larger plant biomass under these growth conditions indicates the high ability of the plant to better metabolize the nitrogen present in the medium. Plants producing larger root biomass have better possibilities to absorb larger amount of nitrogen from soil.

TABLE 80 Genes showing improved plant performance at standard nitrogen growth conditions (T2 generation) Dry Weight [mg] Fresh Weight [mg] P- % P- % Gene Name Event # Ave. Val. Incr. Ave. Val. Incr. WNU91 76213.2 3.50 0.24 19 — — — WNU70 78102.7 4.67 0.20 59 66.9 L 35 WNU70 78104.1 4.77 0.12 63 80.5 0.02 63 WNU61 78014.2 6.43 0.14 119 115.2  0.04 133  WNU6 76542.5 6.12 0.10 109 108.5  0.09 120  WNU6 76544.1 4.45 0.25 51 71.5 0.18 45 WNU6 76544.4 5.77 0.02 97 81.7 L 65 WNU55 77632.3 6.28 0.01 114 115.5  L 134  WNU55 77632.6 7.03 0.01 139 102.3  0.10 107  WNU55 77634.1 4.35 L 48 73.5 L 49 WNU51 79018.4 3.60 L 23 61.8 0.12 25 WNU51 79018.6 4.12 0.24 40 71.1 0.18 44 WNU11 76397.2 5.47 L 86 105.4  L 113  WNU105 77261.2 7.58 0.01 158 133.4  L 170  WNU105 77261.4 5.88 L 100 102.8  0.08 108  WNU105 77263.4 4.57 0.07 55 62.8 0.19 27 CONT. — 2.94 — — 49.4 — — WNU99 77097.4 4.80 0.24 121 67.2 L 78 WNU99 77099.4 4.75 0.06 118 72.5 0.02 92 WNU99 77100.3 3.67 0.06 69 59.5 0.08 57 WNU98 77462.4 3.43 0.02 57 49.8 0.07 32 WNU98 77463.13 3.95 L 82 60.8 L 61 WNU98 77465.1 — — — 48.3 0.19 28 WNU97 77181.4 3.17 0.09 46 54.8 0.06 45 WNU97 77182.2 2.75 0.03 26 46.9 0.04 24 WNU94 78108.3 3.38 L 55 58.4 0.03 54 WNU94 78109.1 3.32 L 53 46.4 0.17 22 WNU94 78110.3 3.67 0.06 69 53.5 0.21 41 WNU9 76612.1 2.80 0.06 29 49.5 0.09 31 WNU9 76615.4 2.58 0.14 18 — — — WNU9 76615.6 4.38 L 101 65.2 0.02 72 WNU83 75821.8 3.67 L 69 51.3 0.01 36 WNU83 75823.10 4.68 L 115 65.9 0.01 74 WNU81 78097.2 2.82 0.02 30 — — — WNU81 78097.5 4.60 L 111 69.4 0.05 83 WNU81 78098.2 2.73 0.12 25 44.5 0.17 17 WNU5 76044.2 3.75 0.02 72 61.2 L 62 WNU5 76045.7 3.17 0.08 46 47.7 0.20 26 WNU46 77021.3 4.73 0.04 118 62.8 0.01 66 WNU46 77022.1 3.37 L 55 — — — WNU46 77024.3 2.82 0.02 30 — — — WNU43 77270.2 3.32 L 53 44.9 0.19 19 WNU41 79012.2 3.32 0.01 53 55.3 L 46 WNU41 79012.4 4.50 L 107 66.4 0.01 75 WNU41 79013.1 3.12 0.13 44 — — — WNU38 76591.4 2.70 0.08 24 — — — WNU38 76594.5 2.93 0.14 34 — — — WNU38 76595.11 2.65 0.30 22 — — — WNU35 75792.2 3.58 0.01 64 59.7 L 58 WNU35 75793.1 4.10 L 89 68.1 0.03 80 WNU35 75794.1 2.93 0.02 34 45.4 0.10 20 WNU31 75786.3 3.43 L 57 60.5 0.03 60 WNU31 75790.2 3.97 L 82 54.6 L 44 WNU31 75790.7 3.73 L 71 66.2 L 75 WNU20 78340.1 3.38 0.03 55 46.3 0.10 22 WNU20 78340.5 3.47 0.09 60 52.9 0.05 40 WNU17 76556.4 3.85 0.02 77 59.9 L 58 WNU17 76557.4 2.62 0.22 21 42.1 0.28 11 WNU17 76559.1 3.12 0.05 44 59.4 0.05 57 CONT. — 2.17 — — 37.8 — — Table 80: “CONT.”—Control; “Ave.”—Average; “% Incr.” = % increment; “p-val.”—p-value; L means that p-value is less than 0.01, p < 0.1 was considered as significant.

TABLE 81 Genes showing improved plant performance at standard nitrogen growth conditions (T2 generation) Leaf Area [cm²] Roots Coverage [cm²] Roots Length [cm] P- % P- % P- % Gene Name Event # Ave. Val. Incr. Ave. Val. Incr. Ave. Val. Incr. WNU91 76213.4 0.403 0.27 12 — — — 5.50 0.25  8 WNU91 76215.5 — — — 5.60 0.17 34 5.81 0.10 15 WNU70 78102.7 0.498 0.11 38 5.99 0.21 44 5.79 0.25 14 WNU70 78104.1 0.485 0.05 35 — — — — — — WNU70 78104.3 — — — 5.34 0.22 28 5.58 0.22 10 WNU61 78014.1 0.451 0.05 25 5.34 0.20 28 5.77 0.10 14 WNU61 78014.2 0.585 0.07 63 5.93 0.10 42 — — — WNU61 78015.10 0.387 0.26  8 — — — — — — WNU6 76542.5 0.534 0.10 48 7.95 0.04 91 6.50 0.02 28 WNU6 76544.4 0.468 L 30 7.51 L 80 6.29 L 24 WNU55 77632.3 0.651 L 81 6.31 L 51 5.58 0.27 10 WNU55 77632.6 0.597 L 66 6.90 0.05 65 — — — WNU55 77634.1 0.442 0.02 23 — — — — — — WNU51 79018.6 0.465 0.05 29 6.09 0.06 46 5.58 0.22 10 WNU11 76397.2 0.546 L 52 6.81 L 63 5.96 0.06 18 WNU11 76400.2 — — — — — — 5.63 0.28 11 WNU105 77261.2 0.713 L 98 10.2  L 144  6.52 L 29 WNU105 77261.4 0.531 0.02 48 6.30 0.04 51 5.94 0.12 17 WNU105 77263.4 0.410 0.08 14 — — — — — — CONT. — 0.360 — — 4.17 — — 5.07 — — WNU99 77097.4 0.409 L 39 5.03 0.04 48 — — — WNU99 77099.4 0.440 0.01 49 — — — — — — WNU99 77100.3 0.426 0.01 45 — — — — — — WNU98 77462.4 0.393 L 34 4.94 0.02 46 6.13 0.02 15 WNU98 77463.13 0.430 L 46 4.30 0.24 27 — — — WNU98 77465.1 0.352 0.11 20 — — — — — — WNU97 77181.4 0.407 0.01 38 5.07 0.10 49 — — — WNU97 77182.2 0.356 0.04 21 — — — — — — WNU94 78108.3 0.407 0.02 38 5.24 0.02 54 5.71 0.22  7 WNU94 78109.1 0.358 0.04 22 — — — — — — WNU94 78110.3 0.411 L 40 4.63 0.05 36 — — — WNU9 76612.1 0.416 L 41 5.41 0.01 59 6.27 0.03 17 WNU9 76615.4 0.336 0.14 14 4.31 0.21 27 5.85 0.25 10 WNU9 76615.6 0.461 L 57 5.87 L 73 6.37 L 19 WNU83 75821.8 0.448 L 52 4.04 0.27 19 — — — WNU83 75823.10 0.485 L 65 6.15 L 81 6.29 L 18 WNU83 75824.4 — — — 4.26 0.23 25 5.84 0.21  9 WNU81 78097.2 0.344 0.12 17 4.62 0.04 36 5.82 0.14  9 WNU81 78097.5 0.442 L 50 5.63 L 66 6.34 0.04 19 WNU5 76044.2 0.413 L 41 6.57 L 93 6.44 L 21 WNU5 76045.7 0.355 0.06 21 3.96 0.29 16 5.75 0.27  8 WNU46 77021.3 0.454 L 55 — — — — — — WNU46 77022.1 0.359 0.29 22 4.52 0.05 33 — — — WNU46 77024.3 0.358 0.04 22 4.56 0.04 34 6.28 L 18 WNU41 79012.2 0.395 L 34 5.09 0.03 50 — — — WNU41 79012.4 0.479 L 63 5.45 0.08 61 6.01 0.23 13 WNU41 79013.1 0.402 L 37 4.89 0.04 44 6.00 0.10 12 WNU38 76591.4 0.357 0.04 22 — — — — — — WNU38 76594.5 0.395 0.05 34 5.00 0.21 47 — — — WNU38 76595.11 0.346 0.13 17 4.69 0.22 38 5.90 0.24 10 WNU35 75792.2 0.419 L 42 4.84 0.08 42 — — — WNU35 75793.1 0.460 L 56 5.04 0.01 48 — — — WNU35 75794.1 0.341 0.18 16 4.39 0.11 29 5.97 0.14 12 WNU31 75786.3 0.389 0.02 32 5.11 0.01 50 5.83 0.13  9 WNU31 75790.2 0.399 0.05 36 5.29 L 56 — — — WNU31 75790.7 0.430 L 46 4.44 0.08 31 — — — WNU20 78336.5 — — — 5.04 0.18 48 5.97 0.10 12 WNU20 78340.1 0.406 0.01 38 5.63 0.03 66 6.63 L 24 WNU20 78340.5 0.397 0.06 35 5.82 0.01 71 6.17 0.01 16 WNU17 76556.4 0.409 0.03 39 4.67 0.12 37 — — — WNU17 76557.4 0.363 0.02 23 — — — — — — WNU17 76559.1 0.389 0.05 32 5.19 0.10 53 6.07 0.09 14 CONT. — 0.294 — — 3.40 — — 5.34 — — Table 81: “CONT.”—Control; “Ave.”—Average; “% Incr.” = % increment; “p-val.”—p-value; L means that p-value is less than 0.01, p < 0.1 was considered as significant.

TABLE 82 Genes showing improved plant performance at standard nitrogen growth conditions (T1 generation) Dry Weight [mg] Fresh Weight [mg] Gene P- % P- % Name Ave. Val. Incr. Ave. Val. Incr. WNU1 7.73 0.17 48 119.6 0.10 64 CONT. 5.23 — — 73.2 — — Table 82: “CONT.”—Control; “Ave.”—Average; “% Incr.” = % increment; “p-val.”—p-value; L means that p- value is less than 0.01, p < 0.1 was considered as significant.

TABLE 83 Genes showing improved plant performance at standard nitrogen growth conditions (T1 generation) Leaf Area [cm²] Roots Coverage [cm²] Roots Length [cm] Gene P- % P- % P- % Name Ave. Val. Incr. Ave. Val. Incr. Ave. Val. Incr. WNU69 0.701 0.25 18 7.19 0.07 39 6.53 0.03 24 WNU12 — — — — — — 5.64 0.28 7 CONT. 0.592 — — 5.18 — — 5.28 — — Table 83: “CONT.”—Control; “Ave.”—Average; “% Incr.” = % increment; “p-val.”—p-value; L means that p-value is less than 0.01, p < 0.1 was considered as significant.

The genes listed in Table 84-85 improved plant relative growth rate (RGR of leaf area, root length and root coverage) when grown at standard nitrogen concentration levels. These genes produced plants that grew faster than control plants when grown under standard nitrogen growth conditions. Faster growth was observed when growth rate of leaf area, root length and root coverage was measured.

TABLE 84 Genes showing improved growth rate at standard nitrogen growth conditions (T2 generation) RGR Of Roots RGR Of Root RGR Of Leaf Area Coverage Length Gene P- % P- % P- % Name Event # Ave. Val. Incr. Ave. Val. Incr. Ave. Val. Incr. WNU91 76215.5 — — — 0.650 0.16 34 — — — WNU70 78102.7 0.0473 0.05 34 0.706 0.09 46 — — — WNU70 78104.1 0.0468 0.03 33 — — — — — — WNU70 78104.3 — — — 0.618 0.25 28 — — — WNU61 78014.1 0.0430 0.13 22 0.636 0.17 32 0.512 0.23 16 WNU61 78014.2 0.0583 L 66 0.698 0.10 44 — — — WNU6 76542.5 0.0518 0.03 47 0.921 L 90 0.528 0.19 20 WNU6 76544.4 0.0410 0.20 16 0.879 L 82 0.527 0.16 20 WNU55 77632.3 0.0599 L 70 0.736 0.02 52 — — — WNU55 77632.6 0.0581 L 65 0.808 0.01 67 — — — WNU55 77634.1 0.0428 0.12 22 — — — — — — WNU51 79018.6 0.0462 0.04 31 0.740 0.03 53 0.562 0.05 28 WNU11 76397.2 0.0522 L 48 0.807 0.01 67 0.546 0.13 24 WNU105 77261.2 0.0705 L 100  1.17  L 141  0.546 0.08 24 WNU105 77261.4 0.0507 L 44 0.710 0.05 47 — — — WNU105 77263.4 0.0414 0.24 18 — — — — — — CONT. — 0.0352 — — 0.484 — — 0.440 — — WNU99 77097.4 0.0393 0.08 38 0.594 0.05 51 — — — WNU99 77099.4 0.0422 0.02 49 — — — — — — WNU99 77100.3 0.0398 0.03 40 — — — — — — WNU98 77462.4 0.0361 0.11 27 0.567 0.03 44 0.504 0.17 15 WNU98  77463.13 0.0430 L 51 0.495 0.22 25 — — — WNU97 77181.4 0.0402 0.02 42 0.585 0.04 48 — — — WNU97 77182.2 0.0347 0.29 22 — — — — — — WNU94 78108.3 0.0399 0.03 40 0.623 L 58 0.497 0.20 14 WNU94 78109.1 0.0340 0.22 20 — — — — — — WNU94 78110.3 0.0415 0.02 46 0.552 0.08 40 — — — WNU9 76612.1 0.0393 0.03 38 0.651 L 65 0.538 0.05 23 WNU9 76615.4 — — — 0.494 0.21 25 — — — WNU9 76615.6 0.0437 L 54 0.674 L 71 0.510 0.14 17 WNU83 75821.8 0.0444 L 56 0.486 0.23 23 — — — WNU83  75823.10 0.0473 L 66 0.717 L 82 0.557 0.02 27 WNU83 75824.4 — — — 0.486 0.25 23 — — — WNU81 78097.2 — — — 0.557 0.04 41 0.546 0.03 25 WNU81 78097.5 0.0453 L 59 0.654 L 66 0.523 0.15 19 WNU5 76044.2 0.0427 L 50 0.767 L 94 0.530 0.07 21 WNU5 76045.7 0.0340 0.21 20 — — — — — — WNU46 77021.3 0.0430 0.01 51 — — — — — — WNU46 77022.1 0.0357 0.22 26 0.543 0.08 38 0.506 0.21 16 WNU46 77024.3 0.0351 0.14 24 0.524 0.09 33 0.521 0.08 19 WNU41 79012.2 0.0387 0.03 36 0.595 0.02 51 — — — WNU41 79012.4 0.0451 L 59 0.634 0.01 61 — — — WNU41 79013.1 0.0399 0.02 41 0.560 0.05 42 — — — WNU38 76591.4 0.0346 0.18 22 — — — — — — WNU38 76594.5 0.0400 0.02 41 0.594 0.05 51 0.516 0.19 18 WNU38  76595.11 0.0350 0.15 23 0.546 0.10 38 — — — WNU35 75792.2 0.0406 0.01 43 0.586 0.03 49 0.523 0.10 19 WNU35 75793.1 0.0457 L 61 0.597 0.02 51 — — — WNU35 75794.1 — — — 0.508 0.14 29 — — — WNU31 75786.3 0.0376 0.06 32 0.608 L 54 — — — WNU31 75790.2 0.0366 0.13 29 0.628 L 59 0.504 0.22 15 WNU31 75790.7 0.0409 0.01 44 0.515 0.12 31 — — — WNU20 78336.5 — — — 0.600 0.04 52 0.508 0.16 16 WNU20 78340.1 0.0403 0.02 42 0.649 L 65 0.558 0.02 28 WNU20 78340.5 0.0388 0.06 37 0.690 L 75 0.494 0.22 13 WNU17 76556.4 0.0396 0.04 39 0.537 0.10 36 — — — WNU17 76557.4 0.0352 0.14 24 — — — 0.509 0.15 16 WNU17 76559.1 0.0383 0.06 35 0.613 0.02 55 0.517 0.14 18 CONT. — 0.0284 — — 0.394 — — 0.437 — — Table 84: “CONT.”—Control; “Ave.”—Average; “% Incr.” = % increment; “p-val.”—p-value; L means that p-value is less than 0.01, p < 0.1 was considered as significant.

TABLE 85 Genes showing improved growth rate at standard nitrogen growth conditions (T1 generation) RGR Of Roots RGR Of Leaf Area Coverage RGR Of Root Length Gene P- % P- % P- % Name Ave. Val. Incr. Ave. Val. Incr. Ave. Val. Incr. WNU69 0.0721 0.11 31 0.864 0.02 43 0.672 L 33 WNU12 — — — — — — 0.550 0.23 9 CONT. 0.0550 — — 0.604 — — 0.506 — — Table 85. “CONT.”—Control; “Ave.”—Average; “% Incr.” = % increment; “p-val.”—p-value; L means that p-value is less than 0.01, p < 0.1 was considered as significant.

Example 19 Evaluation of Transgenic Arabidopsis NUE, Yield and Plant Growth Rate Under Low or Normal Nitrogen Fertilization in Greenhouse Assay

Assay 1: Nitrogen Use efficiency: Seed yield, plant biomass and plant growth rate at limited and optimal nitrogen concentration under greenhouse conditions (Greenhouse-seed maturation)—This assay follows seed yield production, the biomass formation and the rosette area growth of plants grown in the greenhouse at limiting and non-limiting (optimal) nitrogen growth conditions. Transgenic Arabidopsis seeds were sown in agar media supplemented with/2 MS medium and a selection agent (Kanamycin). The T₂ transgenic seedlings were then transplanted to 1.7 trays filled with peat and perlite in a 1:1 ratio. The trays were irrigated with a solution containing nitrogen limiting conditions, which were achieved by irrigating the plants with a solution containing 1.5 mM inorganic nitrogen in the form of KNO₃, supplemented with 1 mM KH₂PO₄, 1 mM MgSO₄, 3.6 mM KCl, 2 mM CaCl₂ and microelements, while normal nitrogen levels were achieved by applying a solution of 6 mM inorganic nitrogen also in the form of KNO₃ with 1 mM KH₂PO₄, 1 mM MgSO₄, 2 mM CaCl₂ and microelements. All plants were grown in the greenhouse until mature seeds. Seeds were harvested, extracted and weighted. The remaining plant biomass (the above ground tissue) was also harvested, and weighted immediately or following drying in oven at 50° C. for 24 hours.

Each construct was validated at its T₂ generation. Transgenic plants transformed with a construct conformed by an empty vector carrying the At6669 promoter and the selectable marker was used as control.

The plants were analyzed for their overall size, growth rate, flowering, seed yield, 1,000-seed weight, dry matter and harvest index (HI-seed yield/dry matter). Transgenic plants performance was compared to control plants grown in parallel under identical growth conditions. Mock-transgenic plants expressing the uidA reporter gene (GUS-Intron) or with no gene at all, under the same promoter were used as control.

The experiment was planned in nested randomized plot distribution. For each gene of the invention three to five independent transformation events were analyzed from each construct.

Digital imaging—A laboratory image acquisition system, which consists of a digital reflex camera (Canon EOS 300D) attached with a 55 mm focal length lens (Canon EF-S series), mounted on a reproduction device (Kaiser RS), which includes 4 light units (4×150 Watts light bulb) was used for capturing images of plant samples.

The image capturing process was repeated every 2 days starting from day 1 after transplanting till day 15. Same camera, placed in a custom made iron mount, was used for capturing images of larger plants sawn in white tubs in an environmental controlled greenhouse. The tubs were square shape include 1.7 liter trays. During the capture process, the tubs were placed beneath the iron mount, while avoiding direct sun light and casting of shadows.

An image analysis system was used, which consists of a personal desktop computer (Intel P4 3.0 GHz processor) and a public domain program—ImageJ 1.39 [Java based image processing program which is developed at the U.S. National Institutes of Health and freely available on the internet at rsbweb (dot) nih (dot) gov/]. Images were captured in resolution of 10 Mega Pixels (3888×2592 pixels) and stored in a low compression JPEG (Joint Photographic Experts Group standard) format. Next, analyzed data was saved to text files and processed using the JMP statistical analysis software (SAS institute).

Leaf analysis—Using the digital analysis leaves data was calculated, including leaf number, rosette area, rosette diameter, leaf blade area.

Vegetative growth rate: the relative growth rate (RGR) of leaf number [Formula VIII (described above)], rosette area [Formula IX (described above)], plot coverage [Formula XI (described above)] and harvest index [Formula XV (described above)] was calculated with the indicated formulas.

Seeds average weight—At the end of the experiment all seeds were collected. The seeds were scattered on a glass tray and a picture was taken. Using the digital analysis, the number of seeds in each sample was calculated.

Dry weight and seed yield—On about day 80 from sowing, the plants were harvested and left to dry at 30° C. in a drying chamber. The biomass and seed weight of each plot were measured and divided by the number of plants in each plot. Dry weight=total weight of the vegetative portion above ground (excluding roots) after drying at 30° C. in a drying chamber; Seed yield per plant=total seed weight per plant (gr). 1000 seed weight (the weight of 1000 seeds) (gr.).

The harvest index (HI) was calculated using Formula XV as described above.

Oil percentage in seeds—At the end of the experiment all seeds from each plot were collected. Seeds from 3 plots were mixed grounded and then mounted onto the extraction chamber. 210 ml of n-Hexane (Cat No. 080951 Biolab Ltd.) were used as the solvent. The extraction was performed for 30 hours at medium heat 50° C. Once the extraction has ended the n-Hexane was evaporated using the evaporator at 35° C. and vacuum conditions. The process was repeated twice. The information gained from the Soxhlet extractor (Soxhlet, F. Die gewichtsanalytische Bestimmung des Milchfettes, Polytechnisches J. (Dingler's) 1879, 232, 461) was used to create a calibration curve for the Low Resonance NMR. The content of oil of all seed samples was determined using the Low Resonance NMR (MARAN Ultra-Oxford Instrument) and its MultiQuant software package

Silique length analysis—On day 50 from sowing, 30 siliques from different plants in each plot were sampled in block A. The chosen siliques were green-yellow in color and were collected from the bottom parts of a grown plant's stem. A digital photograph was taken to determine silique's length.

Statistical analyses—To identify genes conferring significantly improved tolerance to abiotic stresses, the results obtained from the transgenic plants were compared to those obtained from control plants. To identify outperforming genes and constructs, results from the independent transformation events tested were analyzed separately. Data was analyzed using Student's t-test and results were considered significant if the p value was less than 0.1. The JMP statistics software package was used (Version 5.2.1, SAS Institute Inc., Cary, N.C., USA).

Tables 86-95 summarize the observed phenotypes of transgenic plants exogenously expressing the gene constructs using the greenhouse seed maturation (GH-SM) assays under low nitrogen (Tables 86-90) or normal (standard) nitrogen (Tables 91-95) growth conditions. The evaluation of each gene was performed by testing the performance of different number of events. Event with p-value<0.1 was considered statistically significant.

TABLE 86 Genes showing improved plant performance at low Nitrogen growth conditions under regulation of At6669 promoter Inflorescence Dry Weight [mg] Flowering Emergence Gene P- % P- % P- % Name Event # Ave. Val. Incr. Ave. Val. Incr. Ave. Val. Incr. WNU30 76575.3 — — — 16.4 0.27 −3 12.6 0.14 −3 WNU101 75778.9 382.5 0.11  4 — — — — — — CONT. — 366.6 — — 17.0 — — 13.0 — — WNU85 76838.1 445.4 0.17 19 — — — — — — WNU85 76840.5 419.2 0.28 12 — — — — — — WNU82 75806.2 412.5 0.26 10 — — — — — — WNU82 75806.4 415.6 0.01 11 — — — — — — WNU82 75807.5 427.1 0.08 14 — — — — — — WNU82 75807.6 430.4 0.12 15 — — — — — — WNU82 75809.3 485.0 0.02 29 — — — — — — WNU80 76403.8 397.5 0.13  6 — — — — — — WNU68 76831.4 411.7 0.04 10 — — — — — — WNU68 76832.3 453.5 0.02 21 — — — — — — WNU68 76835.2 420.4 0.07 12 — — — — — — WNU56 75801.6 402.9 0.08  8 — — — — — — WNU56 75803.7 — — — 17.3 0.19 −3 13.2 0.26 −2 WNU56 75804.3 435.3 L 16 — — — — — — CONT. — 374.7 — — 17.8 — — 13.5 — — WNU77 78016.1 491.1 0.12 16 — — — — — — WNU77 78016.3 470.0 0.23 11 — — — — — — WNU77 78016.6 466.2 0.12 10 — — — — — — WNU77 78016.8 499.6 0.07 18 22.5 0.16 −1 17.6 0.04 −2 WNU77 78016.9 805.9 0.10 91 — — — — — — WNU77 78017.1 477.1 0.20 13 22.5 0.16 −1 — — — WNU77  78018.10 — — — — — — 17.1 0.10 −4 WNU65  78006.10 481.0 0.03 14 — — — — — — WNU65 78006.4 446.5 0.22  6 — — — — — — WNU65 78006.7 566.6 0.21 34 — — — — — — WNU65 78006.8 — — — 21.8 0.13 −4 17.0 0.11 −5 WNU65  78007.11 470.4 0.06 11 — — — — — — WNU65  78007.14 473.4 0.05 12 — — — — — — WNU63 76766.5 454.6 0.18  8 — — — — — — WNU63 76768.2 — — — 22.2 0.26 −2 — — — WNU63 76768.5 497.9 0.05 18 — — — 17.6 0.27 −2 WNU63 76768.9 473.4 0.20 12 — — — — — — WNU63 76770.1 485.2 0.26 15 — — — — — — WNU50 78114.2 531.3 L 26 — — — — — — WNU50 78114.6 — — — 22.5 0.16 −1 — — — WNU50 78130.2 482.0 L 14 22.5 0.16 −1 17.7 0.24 −1 WNU50 78130.8 472.4 0.14 12 — — — — — — WNU19 76567.1 488.8 0.07 16 — — — — — — WNU19 76568.2 464.4 0.16 10 — — — 17.2 0.12 −4 WNU19 76569.2 469.0 0.17 11 — — — — — — WNU19 76570.3 — — — 22.2 0.26 −2 16.8 0.07 −6 WNU16 77166.4 605.1 0.01 43 21.8 L −4 17.4 L −3 WNU16 77167.1 457.0 0.14  8 — — — — — — WNU16 77167.2 526.3 0.05 25 21.8 0.13 −4 17.2 0.20 −4 WNU16 77167.3 — — — 22.2 0.26 −2 17.3 0.28 −3 WNU16 77167.5 — — — 22.5 0.16 −1 16.6 L −7 WNU16 77169.1 504.6 0.02 19 22.0 0.11 −3 16.8 0.07 −6 WNU16 77169.2 — — — 22.0 0.11 −3 16.6 L −7 WNU16 77169.5 — — — — — — 17.1 0.13 −4 CONT. — 422.5 — — 22.7 — — 17.9 — — Table 86: “CONT.”—Control; “Ave.”—Average; “% Incr.” = % increment; “p-val.”—p-value; L means that p-value is less than 0.01, p < 0.1 was considered as significant. The transgenes were under the transcriptional regulation of the new At6669 promoter (SEQ ID NO: 6918). 6918). It should be noted that a negative increment (in percentages) when found in flowering or inflorescence emergence indicates potential for drought avoidance.

TABLE 87 Genes showing improved plant performance at Low N growth conditions under regulation of At6669 promoter Leaf Blade Area [cm²] Leaf Number Plot Coverage [cm²] Gene P- % P- % P- % Name Event # Ave. Val. Incr. Ave. Val. Incr. Ave. Val. Incr. WNU30 76572.4 1.20 L 21 — — — 63.9 L 16 WNU30 76574.1 1.16 0.08 16 — — — 63.8 0.09 16 WNU30 76575.3 1.15 0.08 16 — — — 60.9 0.02 11 WNU101 75778.2 1.11 0.04 12 — — — 60.7 0.13 10 WNU101 75778.3 1.10 0.19 10 — — — — — — WNU101 75778.4 1.12 0.15 12 — — — 63.2 0.14 15 WNU101 75778.9 — — — — — — 57.5 0.29  5 WNU101 75780.1 — — — — — — 62.9 0.20 14 CONT. —  0.995 — —  9.75 — — 55.1 — — WNU85 76836.2 1.50 0.22  9 — — — 88.4 0.19 11 WNU85 76837.7 1.60 0.03 16 — — — 90.0 0.15 13 WNU82 75806.2 1.49 0.13  8 — — — 84.6 0.24  6 WNU82 75809.3 1.49 0.12  8 — — — 86.9 0.09  9 WNU80 76404.3 — — — — — — 89.9 0.23 13 WNU80 76405.5 1.56 0.02 13 — — — 88.1 0.05 11 WNU68 76831.4 1.48 0.23  7 — — — 85.5 0.17  8 WNU68 76833.7 1.63 0.02 18 — — — 96.9 0.04 22 WNU68 76835.2 1.47 0.14  6 — — — 87.2 0.06 10 WNU56  75801.10 1.50 0.16  9 — — — — — — WNU56 75803.9 — — — 11.6 0.28 2 — — — CONT. — 1.38 — — 11.4 — — 79.6 — — WNU77 78016.3 1.12 0.20 21 — — — 64.2 0.22 20 WNU77 78016.6  0.974 0.12  6 — — — — — — WNU77 78016.8 1.17 0.04 27 10.4 L 4 69.6 L 30 WNU77 78017.1 1.07 0.17 16 — — — 62.2 0.25 16 WNU77  78018.10 1.10 L 19 10.5 0.18 6 64.3 L 20 WNU65 78006.8  0.970 0.10  5 10.2 0.14 3 57.1 0.05  7 WNU50 78114.5 1.01 0.09  9 — — — 56.9 0.23  7 WNU50 78130.2 1.02 0.27 11 — — — — — — WNU19 76569.3 — — — 10.2 0.24 2 — — — WNU16 77167.5 1.03 0.22 12 — — — — — — WNU16 77169.1 1.06 0.01 15 10.6 0.03 6 62.3 L 17 WNU16 77169.2 1.04 0.07 13 — — — 61.8 L 16 CONT. —  0.922 — —  9.97 — — 53.4 — — Table 87. “CONT.”—Control; “Ave.”—Average; “% Incr.” = % increment; “p-val.”—p-value; L means that p-value is less than 0.01, p < 0.1 was considered as significant. The transgenes were under the transcriptional regulation of the new At6669 promoter (SEQ ID NO: 6918).

TABLE 88 Genes showing improved plant performance at low Nitrogen growth conditions under regulation of At6669 promoter RGR Of Plot RGR Of Rosette RGR Of Leaf Number Coverage Diameter Gene P- % P- % P- % Name Event # Ave. Val. Incr. Ave. Val. Incr. Ave. Val. Incr. WNU30 76572.4 — — — 10.1  0.20 11 0.437 0.29  5 WNU30 76574.1 — — — 10.2  0.20 11 0.446 0.15  7 WNU101 75778.4 0.732 0.24 9 9.99 0.28  9 0.452 0.09  9 WNU101 75780.1 — — — 10.2  0.20 11 0.464 0.04 12 CONT. — 0.671 — — 9.14 — — 0.415 — — WNU85 76836.1 0.856 0.13 13  — — — — — — WNU85 76836.2 — — — 12.7  0.23 12 0.508 0.29  9 WNU85 76837.7 — — — 12.6  0.24 12 0.515 0.22 11 WNU82 75809.3 — — — 12.6  0.27 11 0.511 0.25 10 WNU80 76404.3 0.829 0.27 9 13.2  0.10 17 — — — WNU80 76405.5 — — — — — — 0.538 0.14 16 WNU68 76831.4 — — — — — — 0.513 0.24 10 WNU68 76833.7 — — — 13.8  0.03 22 0.538 0.07 16 WNU68 76835.2 — — — 12.5  0.30 10 0.511 0.25 10 WNU56  75801.10 — — — — — — 0.525 0.14 13 WNU56 75801.6 — — — — — — 0.511 0.26 10 WNU56 75803.9 0.825 0.30 9 — — — — — — WNU56 75804.3 0.826 0.27 9 — — — — — — CONT. — 0.757 — — 11.3  — — 0.465 — — WNU77 78016.3 0.734 0.29 7 9.70 0.01 24 0.436 0.02 17 WNU77 78016.6 — — — 8.54 0.27  9 0.413 0.10 11 WNU77 78016.8 — — — 10.5  L 34 0.444 L 19 WNU77 78017.1 — — — 9.30 0.03 19 0.414 0.12 11 WNU77  78018.10 — — — 9.40 0.01 20 0.412 0.11 11 WNU65 78007.3 0.738 0.23 7 — — — — — — WNU63 76766.5 — — — — — — 0.399 0.29  7 WNU63 76768.8 — — — — — — 0.407 0.20  9 WNU50 78114.5 — — — — — — 0.411 0.12 10 WNU50 78130.1 — — — — — — 0.406 0.19  9 WNU50 78130.2 — — — 8.81 0.17 13 — — — WNU19 76568.2 — — — — — — 0.407 0.30  9 WNU19 76570.3 — — — 8.75 0.21 12 — — — WNU16 77167.3 — — — 9.43 0.07 20 — — — WNU16 77167.5 — — — 8.75 0.18 12 0.401 0.28  8 WNU16 77169.1 — — — 8.93 0.08 14 0.402 0.24  8 WNU16 77169.2 — — — 8.84 0.11 13 — — — CONT. — 0.689 — — 7.83 — — 0.373 — — Table 88. “CONT.”—Control; “Ave.”—Average; “% Incr.” = % increment; “p-val.”—p-value; L means that p-value is less than 0.01 p < 0.1 was considered as significant. The transgenes were under the transcriptional regulation of the new At6669 promoter (SEQ ID NO: 6918).

TABLE 89 Genes showing improved plant performance at low Nitrogen growth conditions under regulation of At6669 promoter Harvest Index Rosette Area [cm²] Rosette Diameter [cm] Gene P- % P- % P- % Name Event # Ave. Val. Incr. Ave. Val. Incr. Ave. Val. Incr. WNU30 76572.4 — — — 7.99 L 16 4.62 L 8 WNU30 76574.1 — — — 7.98 0.09 16 4.70 0.06 9 WNU30 76575.3 0.395 0.18 14 7.61 0.02 11 4.56 0.01 6 WNU101 75778.2 0.374 0.12  8 7.58 0.13 10 4.52 0.13 5 WNU101 75778.4 — — — 7.90 0.14 15 4.73 0.10 10  WNU101 75778.9 — — — 7.19 0.29  5 — — — WNU101 75780.1 — — — 7.87 0.20 14 4.82 0.17 12  WNU101 75780.2 0.384 0.03 11 — — — — — — CONT. — 0.347 — — 6.88 — — 4.29 — — WNU85 76836.1 0.418 L 19 — — — — — — WNU85 76836.2 0.375 0.07  6 11.1  0.19 11 5.50 0.03 9 WNU85 76837.2 0.399 0.08 13 — — — — — — WNU85 76837.7 0.383 0.02  9 11.2  0.15 13 5.54 0.07 9 WNU85 76838.2 0.389 0.03 10 — — — — — — WNU85 76839.1 0.394 0.14 12 — — — — — — WNU85 76840.1 0.377 0.26  7 — — — — — — WNU82 75806.2 — — — 10.6  0.24  6 5.35 0.19 6 WNU82 75806.3 0.378 0.02  7 — — — — — — WNU82 75809.3 — — — 10.9  0.09  9 5.42 0.13 7 WNU82 75809.4 — — — 11.0  0.25 11 5.36 0.27 6 WNU80 76403.1 0.383 0.22  9 — — — — — — WNU80 76403.8 0.377 0.04  7 — — — — — — WNU80 76404.3 0.384 0.24  9 11.2  0.23 13 5.44 0.15 7 WNU80 76404.5 0.383 0.17  9 — — — — — — WNU80 76405.5 — — — 11.0  0.05 11 5.53 0.08 9 WNU68 76831.2 — — — — — — 5.42 0.19 7 WNU68 76831.4 — — — 10.7  0.17  8 5.48 0.06 8 WNU68  76833.10 0.373 0.14  6 — — — — — — WNU68 76833.7 0.387 0.29 10 12.1  0.04 22 5.73 0.02 13  WNU68 76835.2 — — — 10.9  0.06 10 5.46 0.02 8 WNU56  75801.10 — — — — — — 5.44 0.12 7 WNU56 75801.9 0.382 0.11  8 — — — — — — WNU56 75803.7 — — — — — — 5.28 0.24 4 WNU56 75804.1 0.386 0.25 10 — — — — — — CONT. — 0.352 — — 9.94 — — 5.07 — — WNU77 78016.3 — — — 8.02 0.22 20 4.76 0.14 12  WNU77 78016.5 0.401 0.28 18 — — — — — — WNU77 78016.6 — — — — — — 4.54 0.01 6 WNU77 78016.8 — — — 8.70 L 30 4.91 L 15  WNU77 78017.1 — — — 7.77 0.25 16 4.64 0.19 9 WNU77  78018.10 — — — 8.03 L 20 4.70 L 10  WNU77 78018.4 0.363 0.26  7 — — — — — — WNU65 78006.8 — — — 7.14 0.05  7 4.44 0.04 4 WNU65  78007.11 0.370 0.13  9 — — — — — — WNU63 76766.5 0.416 0.09 22 — — — — — — WNU63 76766.7 0.384 L 13 — — — — — — WNU63 76768.1 0.402 0.05 18 — — — — — — WNU63 76768.2 0.397 0.20 17 — — — — — — WNU50 78114.5 — — — 7.12 0.23  7 4.51 0.01 6 WNU50 78130.1 0.403 0.27 18 — — — — — — WNU50 78130.4 0.359 0.28  5 — — — — — — WNU50 78144.2 0.372 0.11  9 — — — — — — WNU19 76567.1 0.394 0.24 16 — — — — — — WNU19 76568.3 0.387 0.14 14 — — — — — — WNU19 76569.3 0.403 L 18 — — — — — — WNU16 77166.3 0.437 0.11 28 — — — — — — WNU16 77166.4 — — — — — — 4.48 0.24 5 WNU16 77168.2 0.395 0.27 16 — — — — — — WNU16 77169.1 — — — 7.79 L 17 4.66 L 9 WNU16 77169.2 0.423 L 24 7.72 L 16 4.56 L 7 CONT. — 0.340 — — 6.67 — — 4.27 — — Table 89. “CONT.”—Control; “Ave.”—Average; “% Incr.” = % increment; “p-val.”—p-value; L means that p-value is less than 0.01, p < 0.1 was considered as significant. The transgenes were under the transcriptional regulation of the new At6669 promoter (SEQ ID NO: 6918).

TABLE 90 Genes showing improved plant performance at low Nitrogen growth conditions under regulation of At6669 promoter Seed Yield [mg] 1000 Seed Weight [mg] Gene P- % P- % Name Event # Ave. Val. Incr. Ave. Val. Incr. WNU30 76572.1 140.7 0.19 11 — — — WNU30 76575.3 140.0 0.19 11 — — — WNU101 75780.2 137.6 0.17  9 — — — CONT. — 126.5 — — 19.9 — — WNU85 76836.2 141.1 0.29  7 — — — WNU85 76837.2 154.8 0.09 17 — — — WNU85 76838.1 — — — 23.2 0.04 15 WNU85 76840.5 — — — 23.7 0.17 18 WNU82 75806.3 147.8 0.13 12 — — — WNU82 75806.4 — — — 22.2 L 11 WNU82 75807.5 155.9 0.03 18 — — — WNU80 76403.1 144.0 0.22  9 — — — WNU80 76403.2 — — — 21.8 0.07  8 WNU80 76403.8 149.8 0.02 14 — — — WNU80 76404.3 148.9 0.12 13 — — — WNU80 76404.5 141.9 0.20  8 — — — WNU80 76405.6 — — — 22.3 0.24 11 WNU68 76831.2 146.2 0.19 11 — — — WNU68 76831.4 145.6 0.20 10 — — — WNU68 76832.3 — — — 22.6 0.16 13 WNU68 76833.7 146.7 0.14 11 — — — WNU68 76834.1 141.6 0.25  7 — — — WNU68 76834.3 — — — 20.8 0.21  4 WNU68 76835.2 151.0 0.22 15 — — — WNU56  75801.10 145.6 0.21 10 — — — WNU56 75801.6 147.1 0.07 12 — — — WNU56 75801.8 151.3 0.26 15 — — — WNU56 75801.9 146.8 0.21 11 — — — WNU56 75803.7 — — — 22.2 0.20 11 WNU56 75804.1 147.2 0.12 12 — — — CONT. — 131.8 — — 20.1 — — WNU77 78016.1 182.5 L 27 — — — WNU77 78016.3 163.6 0.03 14 — — — WNU77 78016.5 175.8 0.29 22 — — — WNU77 78016.6 174.1 0.25 21 — — — WNU77 78016.8 — — — 21.5 0.08  7 WNU77 78016.9 — — — 25.2 0.06 26 WNU77 78017.1 168.2 0.02 17 — — — WNU77  78018.10 — — — 21.9 L  9 WNU65 78006.4 168.9 0.29 17 — — — WNU65 78006.6 — — — 21.6 0.07  8 WNU65 78006.7 — — — 21.8 0.17  9 WNU65  78007.11 174.2 0.07 21 — — — WNU63 76766.5 188.8 0.02 31 — — — WNU63 76766.7 165.0 0.28 15 — — — WNU63 76768.5 — — — 21.8 0.06  9 WNU63 76768.8 176.6 L 23 — — — WNU63 76770.1 185.3 0.21 29 — — — WNU50 78114.2 — — — 22.0 0.07 10 WNU50 78114.6 — — — 21.5 L  8 WNU50 78130.1 169.3 0.19 18 — — — WNU50 78130.2 — — — 21.0 0.22  5 WNU50 78130.8 156.7 0.14  9 — — — WNU50 78144.2 155.1 0.29  8 — — — WNU19 76567.1 191.5 0.02 33 — — — WNU19 76568.2 — — — 22.2 0.01 11 WNU19 76568.3 176.1 0.24 22 — — — WNU19 76569.2 — — — 23.0 L 15 WNU19 76569.3 154.4 0.25  7 — — — WNU19 76569.4 — — — 20.1 0.20  1 WNU19 76570.3 — — — 21.8 0.09  9 WNU16 77166.3 175.5 0.12 22 — — — WNU16 77166.4 — — — 23.0 0.03 15 WNU16 77167.1 182.0 0.20 27 — — — WNU16 77167.2 — — — 22.7 0.12 14 WNU16 77167.3 — — — 22.1 0.03 11 WNU16 77167.5 — — — 20.3 0.10  1 WNU16 77169.1 — — — 22.3 0.23 12 WNU16 77169.2 179.7 0.19 25 — — — CONT. — 143.8 — — 20.0 — — Table 90. “CONT.”—Control; “Ave.”—Average; “% Incr.” = % increment; “p-val.”—p-value; L means that p-value is less than 0.01, p < 0.1 was considered as significant. The transgenes were under the transcriptional regulation of the new At6669 promoter (SEQ ID NO: 6918).

TABLE 91 Genes showing improved plant performance at Normal growth conditions under regulation of At6669 promoter Inflorescence Dry Weight [mg] Flowering Emergence Gene P- % P- % P- % Name Event # Ave. Val. Incr. Ave. Val. Incr. Ave. Val. Incr. WNU30 76575.1 — — — 16.8 0.15 −3 12.3 0.02 −6 WNU101 75778.8 721.7 0.10  9 — — — — — — CONT. — 659.7 — — 17.4 — — 13.1 — — WNU85 76838.1 — — — — — — 13.3 0.22 −4 WNU85 76840.5 860.4 0.09 13 — — — — — — WNU68 76831.4 799.2 0.25  5 — — — — — — WNU68  76833.10 807.0 0.29  6 — — — — — — WNU56 75801.8 — — — 17.3 0.08 −7 12.8 L −7 WNU56 75803.7 — — — 17.9 L −3 — — — WNU56 75804.1 — — — 18.0 0.16 −3 — — — CONT. — 758.9 — — 18.5 — — 13.8 — — WNU77 78016.8 854.2 0.05  5 22.6 0.03 −3 17.3 0.20 −4 WNU77 78016.9 1234.4  L 52 — — — 17.3 0.27 −3 WNU77  78018.10 897.9 0.01 11 — — — 17.3 0.24 −4 WNU65 78006.6 884.9 0.23  9 — — — — — — WNU65 78006.7 985.7 0.03 21 — — — — — — WNU65 78006.8 — — — — — — 17.0 0.04 −5 WNU63 76768.2 — — — 22.6 0.03 −3 16.8 0.02 −7 WNU63 76768.8 — — — 22.6 0.04 −3 16.6 L −8 WNU50 78114.2 937.1 L 15 — — — — — — WNU50 78114.6 873.8 0.04  8 — — — — — — WNU50 78130.2 911.7 0.27 12 — — — — — — WNU19 76567.1 — — — 22.8 0.30 −2 — — — WNU19 76568.2 — — — 21.8 L −6 16.8 0.06 −6 WNU19 76569.2 — — — 22.8 0.30 −2 17.5 0.02 −2 WNU19 76569.3 — — — 22.5 L −3 17.4 0.03 −3 WNU19 76569.4 866.1 0.22  7 — — — — — — WNU19 76570.3 935.2 0.05 15 — — — 17.0 0.05 −5 WNU19 76570.7 — — — 22.6 0.03 −3 17.6 0.23 −2 WNU16 77166.4 1104.9  0.05 36 22.1 0.07 −5 16.7 L −7 WNU16 77167.2 939.5 0.04 16 22.0 L −5 16.1 0.02 −10  WNU16 77167.3 942.6 0.01 16 22.6 0.04 −3 17.2 0.10 −4 WNU16 77169.1 904.9 0.18 12 — — — 17.3 0.15 −3 WNU16 77169.2 863.9 0.21  6 22.2 0.04 −5 16.5 L −8 WNU16 77169.5 — — — 22.5 0.15 −3 — — — CONT. — 811.5 — — 23.3 — — 17.9 — — Table 91. “CONT.”—Control; “Ave.”—Average; “% Incr.” = % increment; “p-val.”—p-value; L means that p-value is less than 0.01, p < 0.1 was considered as significant. The transgenes were under the transcriptional regulation of the new At6669 promoter (SEQ ID NO: 6918).

TABLE 92 Genes showing improved plant performance at Normal growth conditions under regulation of At6669 promoter Leaf Blade Area [cm²] Leaf Number Plot Coverage [cm²] Gene P- % P- % P- % Name Event # Ave. Val. Incr. Ave. Val. Incr. Ave. Val. Incr. WNU30 76572.1 1.15 0.22  7 — — — — — — WNU30 76575.1 1.20 0.05 12 — — — 67.5 0.06 10 WNU30 76575.3 1.19 0.27 10 — — — — — — WNU101 75778.5 1.18 0.08 10 — — — — — — WNU101 75778.8 — — — 10.2 0.24 3 — — — WNU101 75780.1 — — — 10.2 0.21 3 — — — CONT. — 1.07 — —  9.91 — — 61.1 — — WNU85 76836.1 1.62 0.02 13 11.7 0.29 4 98.4 0.04 16 WNU85 76836.2 1.57 0.06 10 11.9 0.15 6 94.5 0.04 11 WNU85 76840.5 1.57 0.10 10 — — — 93.3 0.08 10 WNU82 75806.4 1.57 0.21 10 — — — — — — WNU82 75807.6 — — — 11.8 0.23 4 — — — WNU82 75809.4 — — — 11.7 0.12 3 — — — WNU80 76404.3 1.50 0.29  5 — — — — — — WNU68 76833.7 1.55 0.10  8 — — — 91.8 0.23  8 WNU56  75801.10 1.57 0.05 10 — — — — — — WNU56 75801.9 1.56 0.16  9 — — — 90.5 0.27  7 WNU56 75803.7 1.57 0.12  9 — — — 94.2 0.08 11 WNU56 75804.1 1.59 0.06 11 — — — 92.0 0.27  9 CONT. — 1.43 — — 11.3 — — 84.8 — — WNU77 78016.8 1.17 0.20 16 10.3 0.28 4 66.2 0.28 16 WNU63 76768.5 — — — 10.4 0.25 5 — — — WNU63 76768.8 1.12 0.20 11 10.2 0.25 4 69.0 0.10 20 WNU19 76568.2 1.10 0.06  9 — — — 63.3 0.10 11 WNU19 76569.2 — — — 10.1 0.21 2 — — — WNU19 76570.3 1.10 0.24  9 10.4 L 5 65.2 0.02 14 WNU19 76570.7 — — — 10.5 0.02 6 — — — WNU16 77167.2 — — — 10.7 0.19 8 67.0 0.22 17 WNU16 77169.2 — — — 10.9 0.05 10  68.1 0.22 19 CONT. — 1.01 — —  9.89 — — 57.2 — — Table 92. “CONT.”—Control; “Ave.”—Average; “% Incr.” = % increment; “p-val.”—p-value; L means that p-value is less than 0.01, p < 0.1 was considered as significant. The transgenes were under the transcriptional regulation of the new At6669 promoter (SEQ ID NO: 6918).

TABLE 93 Genes showing improved plant performance at Normal growth conditions under regulation of At6669 promoter RGR Of Plot RGR Of Rosette RGR Of Leaf Number Coverage [cm²/day] Diameter [cm/day] Gene P- % P- % P- % Name Event # Ave. Val. Incr. Ave. Val. Incr. Ave. Val. Incr. WNU101 75780.1 — — — — — — 0.520 0.22 7 CONT. — 0.681 — — 11.1  — — 0.485 — — WNU85 76836.1 — — — 14.7  0.19 13 0.594 0.26 9 CONT. — — — — 13.0  — — 0.543 — — WNU77 78016.8 — — — 9.76 0.20 14 — — — WNU77  78018.10 — — — 9.99 0.19 17 — — — WNU77 78018.9 0.735 0.17 12 — — — — — — WNU65 78006.8 — — — 10.1  0.14 18 — — — WNU63 76768.5 0.723 0.27 10 — — — — — — WNU63 76768.8 — — — 10.1  0.10 18 0.460 0.14 12  WNU19 76568.2 — — — 9.63 0.23 13 — — — WNU19 76570.3 — — — 9.54 0.27 12 — — — WNU19 76570.7 0.733 0.19 12 — — — — — — WNU16 77167.2 0.730 0.20 11 9.82 0.18 15 — — — WNU16 77167.5 0.729 0.21 11 — — — — — — WNU16 77169.2 0.726 0.24 11 9.83 0.18 15 — — — CONT. — 0.656 — — 8.54 — — 0.410 — — Table 93. “CONT.”—Control; “Ave.”—Average; “% Incr.” = % increment; “p-val.”—p-value; L means that p-value is less than 0.01, p < 0.1 was considered as significant. The transgenes were under the transcriptional regulation of the new At6669 promoter (SEQ ID NO: 6918).

TABLE 94 Genes showing improved plant performance at Normal growth conditions under regulation of At6669 promoter Harvest Index Rosette Area [cm²] Rosette Diameter [cm] Gene P- % P- % P- % Name Event # Ave. Val. Incr. Ave. Val. Incr. Ave. Val. Incr. WNU30 76572.5 0.476 0.11 12  — — — — — — WNU30 76574.1 0.466 0.10 9 — — — — — — WNU30 76575.1 — — — 8.44 0.06 10 4.83 0.08 5 WNU30 76575.3 0.457 0.08 7 — — — — — — WNU101 75778.2 0.463 0.15 8 — — — — — — WNU101 75778.3 0.459 0.19 7 — — — — — — WNU101 75780.1 — — — — — — 4.96 0.09 8 CONT. — 0.427 — — 7.64 — — 4.60 — — WNU85 76836.1 — — — 12.3  0.04 16 5.91 0.03 9 WNU85 76836.2 — — — 11.8  0.04 11 5.75 0.08 6 WNU85 76837.7 0.421 0.15 12  — — — — — — WNU85 76840.5 — — — 11.7  0.08 10 5.88 0.02 8 WNU82 75806.2 0.406 0.13 8 — — — — — — WNU80 76403.1 0.433 0.22 15  — — — — — — WNU80 76404.3 0.431 0.05 14  — — — 5.66 0.21 4 WNU68 76831.4 0.400 0.03 6 — — — — — — WNU68 76833.7 — — — 11.5  0.23  8 5.71 0.12 5 WNU56  75801.10 — — — — — — 5.83 0.03 7 WNU56 75801.8 0.395 0.14 5 — — — — — — WNU56 75801.9 0.412 0.04 9 11.3  0.27  7 5.64 0.30 4 WNU56 75803.1 0.468 0.23 24  — — — — — — WNU56 75803.7 — — — 11.8  0.08 11 5.69 0.16 5 WNU56 75804.1 — — — 11.5  0.27  9 5.72 0.26 5 CONT. — 0.377 — — 10.6  — — 5.44 — — WNU77 78016.8 — — — — — — 4.80 0.27 7 WNU63 76766.5 0.471 0.07 4 — — — — — — WNU63 76768.8 — — — 8.62 0.11 19 4.99 0.05 11  WNU50 78130.1 0.464 0.18 3 — — — — — — WNU50 78130.8 0.499 L 11  — — — — — — WNU19 76568.1 0.492 L 9 — — — — — — WNU19 76568.2 — — — 7.91 0.13  9 4.84 L 8 WNU19 76569.3 0.477 0.21 6 — — — — — — WNU19 76570.3 — — — 8.34 0.06 16 4.85 0.16 8 WNU16 77167.2 — — — 8.38 0.24 16 — — — WNU16 77168.2 0.472 0.03 5 — — — — — — WNU16 77169.2 — — — 8.51 0.24 18 — — — CONT. — 0.451 — — 7.22 — — 4.49 — — Table 94. “CONT.”—Control; “Ave.”—Average; “% Incr.” = % increment; “p-val.”—p-value; L means that p-value is less than 0.01, p < 0.1 was considered as significant. The transgenes were under the transcriptional regulation of the new At6669 promoter (SEQ ID NO: 6918).

TABLE 95 Genes showing improved plant performance at Normal growth conditions under regulation of At6669 promoter Seed Yield [mg] 1000 Seed Weight [mg] P- % P- % Gene Name Event # Ave. Val. Incr. Ave. Val. Incr. WNU30 76572.5 328.7 0.16 17  — — — WNU30 76574.1 293.5 0.07 4 — — — WNU30 76574.2 293.4 0.30 4 — — — WNU101 75777.3 304.4 L 8 21.2 0.16  2 WNU101 75778.2 — — — 22.7 L  9 WNU101 75778.3 301.2 0.18 7 — — — CONT. — 281.3 — — 20.8 — — WNU85 76840.1 — — — 20.1 0.13  3 WNU85 76840.5 317.6 L 12  21.8 0.11 11 WNU82 75806.4 — — — 23.9 0.03 22 WNU82 75807.5 — — — 20.3 0.09  4 WNU82 75807.6 — — — 21.9 L 12 WNU82 75808.6 — — — 20.5 0.13  5 WNU82 75809.3 — — — 21.5 0.03 10 WNU80 76403.2 — — — 24.0 L 23 WNU80 76404.3 — — — 20.2 0.25  3 WNU80 76405.6 — — — 23.6 0.02 21 WNU68 76831.4 319.2 L 12  — — — WNU68 76832.1 — — — 20.8 0.26  6 WNU68 76832.3 — — — 22.7 0.08 16 WNU68  76833.10 320.8 0.04 13  — — — WNU56 75801.1 — — — 20.9 0.08  7 WNU56 75803.7 — — — 21.7 0.17 11 CONT. — 284.7 — — 19.6 — — WNU77 78016.8 — — — 23.3 0.07 11 WNU77 78016.9 — — — 29.4 0.03 40 WNU77  78018.10 — — — 24.3 0.11 15 WNU65 78006.6 — — — 23.4 0.05 11 WNU65 78006.7 — — — 23.4 0.20 11 WNU65 78007.1 — — — 22.3 0.09  6 WNU63 76766.5 378.4 0.11 4 — — — WNU63 76768.5 — — — 23.9 0.02 14 WNU50 78114.2 — — — 22.8 0.19  8 WNU50 78114.5 384.5 0.02 5 — — — WNU50 78114.6 — — — 24.6 0.04 17 WNU50 78130.2 — — — 23.3 0.07 10 WNU19 76568.1 397.5 0.04 9 — — — WNU19 76568.2 — — — 23.0 0.08  9 WNU19 76569.2 — — — 22.6 0.15  7 WNU19 76569.3 — — — 21.6 0.02  3 WNU19 76569.4 403.2 0.11 10  21.7 0.28  3 WNU19 76570.3 — — — 23.9 0.02 14 WNU16 77166.4 — — — 26.6 0.01 26 WNU16 77167.2 — — — 23.6 0.14 12 WNU16 77167.3 — — — 24.4 0.08 16 WNU16 77169.1 — — — 24.0 0.08 14 WNU16 77169.2 397.4 0.11 9 21.8 0.19  4 CONT. — 364.9 — — 21.1 — — Table 95. “CONT.”—Control; “Ave.”—Average; “% Incr.” = % increment; “p-val.”—p-value; L means that p-value is less than 0.01, p < 0.1 was considered as significant. The transgenes were under the transcriptional regulation of the new At6669 promoter (SEQ ID NO: 6918).

Example 20 Evaluation of Transgenic Arabidopsis NUE, Yield and Plant Growth Rate Under Low or Normal Nitrogen Fertilization in Greenhouse Assay

Assay 2: Nitrogen Use efficiency measured until bolting stage: plant biomass and plant growth rate at limited and optimal nitrogen concentration under greenhouse conditions—This assay follows the plant biomass formation and the rosette area growth of plants grown in the greenhouse at limiting and non-limiting nitrogen growth conditions. Transgenic Arabidopsis seeds were sown in agar media supplemented with ½ MS medium and a selection agent (Kanamycin). The T₂ transgenic seedlings were then transplanted to 1.7 trays filled with peat and perlite in a 1:1 ratio. The trays were irrigated with a solution containing nitrogen limiting conditions, which were achieved by irrigating the plants with a solution containing 1.5 mM inorganic nitrogen in the form of KNO₃, supplemented with 1 mM KH₂PO₄, 1 mM MgSO₄, 3.6 mM KCl, 2 mM CaCl₂ and microelements, while normal nitrogen levels were achieved by applying a solution of 6 mM inorganic nitrogen also in the form of KNO₃ with 1 mM KH₂PO₄, 1 mM MgSO₄, 2 mM CaCl₂ and microelements. All plants were grown in the greenhouse until bolting. Plant biomass (the above ground tissue) was weighted in directly after harvesting the rosette (plant fresh weight [FW]). Following plants were dried in an oven at 50° C. for 48 hours and weighted (plant dry weight [DW]).

Each construct was validated at its T₂ generation. Transgenic plants transformed with a construct conformed by an empty vector carrying the At6669 promoter and the selectable marker was used as control.

The plants were analyzed for their overall size, growth rate, fresh weight and dry matter. Transgenic plants performance was compared to control plants grown in parallel under the same conditions. Mock-transgenic plants expressing the uidA reporter gene (GUS-Intron) or with no gene at all, under the same promoter were used as control.

The experiment was planned in nested randomized plot distribution. For each gene of the invention three to five independent transformation events were analyzed from each construct.

Digital imaging—A laboratory image acquisition system, which consists of a digital reflex camera (Canon EOS 300D) attached with a 55 mm focal length lens (Canon EF-S series), mounted on a reproduction device (Kaiser RS), which includes 4 light units (4×150 Watts light bulb) was used for capturing images of plant samples.

The image capturing process was repeated every 2 days starting from day 1 after transplanting till day 15. Same camera, placed in a custom made iron mount, was used for capturing images of larger plants sawn in white tubs in an environmental controlled greenhouse. The tubs were square shape include 1.7 liter trays. During the capture process, the tubes were placed beneath the iron mount, while avoiding direct sun light and casting of shadows.

An image analysis system was used, which consists of a personal desktop computer (Intel P4 3.0 GHz processor) and a public domain program—ImageJ 1.39 [Java based image processing program which is developed at the U.S. National Institutes of Health and freely available on the internet at rsbweb (dot) nih (dot) gov/]. Images were captured in resolution of 10 Mega Pixels (3888×2592 pixels) and stored in a low compression JPEG (Joint Photographic Experts Group standard) format. Next, analyzed data was saved to text files and processed using the JMP statistical analysis software (SAS institute).

Leaf analysis—Using the digital analysis leaves data was calculated, including leaf number, rosette area, rosette diameter, and leaf blade area. Vegetative growth rate: the relative growth rate (RGR) of leaf number (Formula

VIII, described above), rosette area (Formula IX described above) and plot coverage (Formula XI, described above) was calculated using the indicated formulas.

Plant Fresh and Dry weight—On about day 80 from sowing, the plants were harvested and directly weighted for the determination of the plant fresh weight (FW) and left to dry at 50° C. in a drying chamber for about 48 hours before weighting to determine plant dry weight (DW).

Statistical analyses—To identify genes conferring significantly improved tolerance to abiotic stresses and improved nitrogen use efficiency, the results obtained from the transgenic plants were compared to those obtained from control plants when grown under identical growth conditions. To identify outperforming genes and constructs, results from the independent transformation events tested were analyzed separately. Data was analyzed using Student's t-test and results were considered significant if the p value was less than 0.1. The JMP statistics software package was used (Version 5.2.1, SAS Institute Inc., Cary, N.C., USA).

The genes listed in Tables 96-97 improved plant NUE when grown at limiting nitrogen concentration levels. These genes produced larger plants with a larger photosynthetic area, biomass (fresh weight, dry weight, leaf number, rosette diameter, rosette area and plot coverage) when grown under limiting nitrogen conditions (nutrient deficiency stress) as compared to control plants grown under identical growth conditions.

TABLE 96 Genes showing improved plant biomass production at limiting nitrogen growth conditions Dry Weight [mg] Fresh Weight [mg] Leaf Number Gene P- % P- % P- % Name Event # Ave. Val. Incr. Ave. Val. Incr. Ave. Val. Incr. WNU78 76661.4 — — — — — — 11.0 0.11 8 WNU78 76662.2 — — — — — — 11.2 L 10  WNU74 77576.6 — — — — — — 10.8 0.19 6 WNU74 77578.4 164.6 0.21 20 1112.5 0.10 18 — — — WNU74 77579.5 178.8 0.18 30 1270.8 0.08 34 11.0 0.02 8 WNU67 79473.3 182.5 0.26 33 1166.7 0.28 23 — — — WNU67 79473.4 — — — — — — 10.8 0.12 6 WNU32 76576.4 — — — — — — 11.4 0.02 12  WNU32 76576.5 — — — 1116.7 0.02 18 — — — WNU32 76578.1 — — — — — — 11.2 0.07 10  WNU32 76578.3 171.1 0.13 25 1202.4 L 27 10.8 0.19 6 WNU32 76578.5 — — — — — — 10.8 L 7 WNU32 76580.2 — — — 1125.0 0.19 19 — — — WNU32 76580.6 210.0 0.22 53 1383.3 0.09 46 — — — WNU25 76624.8 252.5 0.26 84 1500.0 0.26 59 — — — WNU25 78806.8 — — — 1125.0 0.23 19 — — — WNU25 78808.4 — — — 1097.6 0.21 16 — — — CONT. — 137.0 — —  946.3 — — 10.2 — — WNU75 76657.4 — — — 1757.1 0.09 12 — — — WNU75 76657.5 177.6 0.04 13 1764.3 L 13 — — — WNU75 76658.4 — — — 1690.5 0.20  8 — — — WNU75 76659.5 — — — 1735.7 0.02 11 — — — WNU54 76641.1 169.2 0.18  7 — — — — — — WNU54 76643.5 166.5 0.25  6 — — — — — — WNU54 76645.5 — — — — — —  9.52 0.23 3 WNU44 76636.1 — — — 1695.8 0.29  8 — — — WNU29 76628.4 167.1 0.28  6 1908.3 0.01 22 — — — WNU29 76628.9 — — — 1691.7 0.21  8 — — — WNU29 76629.1 — — — 1712.5 0.05  9 — — — WNU29 76630.2 — — — 1720.8 0.16 10 — — — WNU18 76563.3 — — — — — —  9.62 0.12 4 WNU18 76563.5 — — — 1701.0 0.07  9 — — — WNU18 76564.2 170.0 0.24  8 1758.3 0.08 12 — — — WNU18 76565.6 — — — — — —  9.50 0.27 3 WNU104 76618.3 — — — 1658.3 0.22  6 — — — WNU104 76619.6 163.8 0.26  4 — — — — — — WNU104 76620.5 171.0 0.19  9 1898.2 0.13 21 — — — WNU104 76620.7 187.9 0.12 19 1750.0 0.20 12 — — — CONT. — 157.6 — — 1564.3 — —  9.23 — — WNU87 76667.1 — — — 1583.3 0.13  7 — — — WNU87 76667.3 — — — 1750.0 0.08 18 10.1 0.10 6 WNU87 76670.3 — — — 1537.5 0.26  4 — — — WNU73 76653.1 — — — — — — 10.0 0.29 5 WNU73 76654.1 — — — 1708.3 0.27 15 — — — WNU58 76761.5 — — — — — —  9.88 0.27 3 WNU58 76762.2 — — — 1570.8 0.13  6 — — — WNU58 76764.2 — — — 1629.2 0.07 10 10.1 0.06 6 WNU39 77171.4 — — — 1583.3 0.20  7 — — — WNU39 77171.5 — — — 1583.3 0.24  7 — — — CONT. — 133.9 — — 1481.7 — —  9.54 — — WNU99 77099.2 — — — — — — 10.1 0.04 5 WNU97 77181.6 — — —  143.8 0.25 20 — — — WNU83 75821.7 — — —  150.0 0.14 25 10.4 L 8 WNU83 75821.8 — — — — — —  9.81 0.24 3 WNU83 75823.9 — — — — — —  9.88 0.22 3 WNU61 78014.2 — — — — — — 10.1 0.19 6 WNU61  78015.10 — — —  143.8 0.25 20 — — — WNU6 76542.5 — — —  156.2 0.25 31 — — — WNU5 76045.4 — — —  143.8 0.25 20 — — — WNU43 77267.2 — — — — — —  9.81 0.24 3 WNU42 76599.4 — — — — — — 10.1 0.14 5 WNU35 75794.1 — — — — — —  9.88 0.14 3 WNU35 75794.3 — — — — — — 10.1 0.05 6 WNU34 76588.6 — — — — — — 10.1 0.05 6 WNU31 75786.3 — — — — — — 10.2 0.09 7 WNU31 75789.5 — — —  168.8 0.03 41 10.2 0.01 7 WNU11 76398.1 — — — — — — 10.1 0.14 5 WNU105 77261.2 — — — — — — 10.1 0.02 6 WNU105 77262.1 — — — — — — 10.0 0.10 5 WNU102 76549.8 — — — — — —  9.94 0.24 4 CONT. — — — —  119.6 — —  9.56 — — WNU28 76826.1 205.4 L 13 1804.2 0.17 10 10.0 0.23 1 WNU28 76829.3 — — — — — — 10.3 0.28 4 WNU21  75781.10 — — — — — — 10.3 0.27 4 WNU21 75781.6 — — — 1762.5 0.19  7 10.3 L 4 WNU21 75781.8 — — — — — — 10.3 0.16 4 WNU21 75784.7 195.8 0.26  7 — — — — — — WNU13 78921.4 200.4 0.10 10 1879.2 0.22 14 10.4 0.20 6 WNU13 78923.6 190.8 0.24  5 — — — — — — WNU13 78923.8 — — — 1766.7 0.11  7 — — — WNU13 78924.3 200.4 0.30 10 — — — 10.6 0.04 8 WNU13 78925.8 — — — — — — 10.2 0.09 4 CONT. — 182.3 — — 1645.4 — —  9.86 — — WNU66 77753.1 212.3 L 21 1867.9 0.15 36 — — — WNU66 77753.4 — — — 1546.4 0.05 13 — — — WNU66  77754.10 — — — 1537.5 0.25 12 — — — WNU66 77754.2 — — — 1500.0 0.15  9 — — — WNU66 77754.4 192.5 0.15 10 1550.0 0.06 13 — — — WNU60  78877.12 190.0 0.07  9 1504.2 0.10 10 — — — WNU60 78877.7 — — — 1465.7 0.29  7 — — — WNU60 78877.8 194.2 0.21 11 1612.5 0.09 18 — — — WNU60 78877.9 — — — 1504.2 0.19 10 — — — WNU60  78878.10 200.8 0.09 15 1679.2 0.04 22 — — — WNU60 78878.9 — — — 1501.8 0.15 10 — — — WNU47 77176.3 — — — 1728.6 0.07 26 — — — WNU47 77177.2 200.0 0.08 14 1608.3 L 17 — — — WNU47 77178.5 188.3 0.15  8 1529.2 0.17 12 — — — WNU47 77178.8 185.4 0.19  6 1454.2 0.30  6 — — — WNU47 77178.9 201.2 0.03 15 1666.7 L 22 — — — WNU47 77180.2 — — — 1612.5 0.03 18 — — — WNU47 77180.5 — — — 1474.4 0.21  8 — — — WNU33 76581.3 200.4 0.11 15 1654.2 0.06 21 — — — WNU33 76581.5 — — — 1591.7 0.25 16 — — — WNU33 76582.1 — — — 1614.9 0.02 18 — — — WNU33 76584.1 199.3 0.18 14 1522.6 0.07 11 — — — WNU33 76584.3 — — — 1795.8 0.10 31 — — — WNU33 76584.4 188.7 0.15  8 1575.6 0.02 15 — — — WNU33 76585.4 193.5 0.16 11 1541.1 0.05 12 — — — WNU27 77747.3 — — — 1500.0 0.13  9 — — — WNU27 77747.4 — — — 1541.7 0.22 12 — — — WNU27 77747.5 — — — 1497.6 0.27  9 — — — WNU27 77748.2 — — — — — — 10.5 0.16 6 WNU27 77750.1 196.0 0.10 12 1535.7 0.15 12 — — — WNU27 77750.3 196.7 0.08 13 1583.3 0.15 15 — — — WNU26  76673.10 211.2 0.04 21 1712.5 L 25 — — — WNU26 76673.2 197.1 0.15 13 1716.7 0.03 25 — — — WNU26 76673.4 — — — 1511.9 0.29 10 — — — WNU26 76673.9 — — — 1529.2 0.12 12 — — — WNU26 76674.1 — — — 1486.9 0.14  8 — — — WNU26 76675.4 — — — 1533.3 0.07 12 — — — CONT. — 174.8 — — 1371.0 — —  9.84 — — WNU92 77124.5  99.2 0.08 17  823.8 0.25 15 10.5 0.12 8 WNU92 77125.3 — — —  854.2 0.17 19 — — — WNU72 77086.3 110.0 L 29  966.7 0.01 35 — — — WNU72 77088.5  96.2 0.16 13  831.5 0.19 16 — — — WNU72 77090.2 100.1 0.29 18  878.6 0.08 23 — — — WNU57 76647.1 116.7 0.23 37 1014.3 0.22 42 — — — WNU57 76649.5  97.2 0.12 14  869.0 0.08 21 — — — WNU57 76649.6 105.5 0.13 24  919.0 0.08 28 — — — WNU57 76650.2 — — — — — — 10.1 0.21 4 WNU52 76605.3  98.0 0.09 15 — — — — — — WNU3  76633.10 — — — — — — 10.2 0.28 5 WNU3  76633.12 — — — — — — 10.0 0.21 2 WNU3  76633.13 — — —  825.0 0.16 15 — — — WNU3 76633.8 105.0 0.03 23 1000.0 0.08 40 — — — WNU3 76635.1 111.2 0.12 31  991.7 0.15 39 — — — WNU15 76552.7 103.0 0.18 21  946.0 0.01 32 — — — CONT. —  85.1 — —  715.6 — —  9.77 — — Table 96. “CONT.”—Control; “Ave.”—Average; “% Incr.” = % increment; “p-val.”—p-value; L means that p-value is less than 0.01, p < 0.1 was considered as significant

TABLE 97 Genes showing improved plant biomass production at limiting nitrogen growth conditions Plot Coverage [cm²] Rosette Area [cm²] Rosette Diameter [cm] Gene P- % P- % P- % Name Event # Ave. Val. Incr. Ave. Val. Incr. Ave. Val. Incr. WNU78 76661.4 91.8 L 44 11.5  L 44 5.77 L 19  WNU78 76662.2 82.7 L 30 10.3  L 30 5.49 L 14  WNU78 76665.5 — — — — — — 5.10 0.01 6 WNU78 76665.6 73.7 0.11 16 9.21 0.11 16 — — — WNU74 77576.1 70.7 0.04 11 8.84 0.04 11 5.25 0.02 9 WNU74 77576.2 67.0 0.21  5 8.38 0.21  5 5.02 0.04 4 WNU74 77576.6 74.3 0.01 16 9.29 0.01 16 5.29 L 9 WNU74 77576.8 — — — — — — 5.08 0.15 5 WNU74 77579.5 70.9 0.22 11 8.87 0.22 11 5.16 0.20 7 WNU71 77656.1 70.6 0.18 11 8.82 0.18 11 5.24 0.04 8 WNU67 79413.2 — — — — — — 5.18 0.21 7 WNU67 79413.5 — — — — — — 5.01 0.16 4 WNU67 79472.2 — — — — — — 4.95 0.25 2 WNU67 79473.4 79.9 L 25 9.99 L 25 5.39 L 11  WNU32 76576.2 72.4 0.26 13 9.05 0.26 13 5.10 0.27 5 WNU32 76576.4 93.1 L 46 11.6  L 46 5.76 L 19  WNU32 76576.5 71.4 L 12 8.92 L 12 5.22 0.05 8 WNU32 76578.1 85.1 L 33 10.6  L 33 5.59 L 16  WNU32 76578.3 74.0 0.17 16 9.25 0.17 16 5.09 0.17 5 WNU32 76578.5 76.6 L 20 9.58 L 20 5.33 L 10  WNU32 76580.2 70.8 0.01 11 8.85 0.01 11 5.17 0.03 7 WNU32 76580.6 76.5 L 20 9.56 L 20 5.18 L 7 CONT. — 63.8 — — 7.97 — — 4.83 — — WNU75 76657.6 40.6 0.19 10 5.07 0.23  9 3.98 0.14 6 WNU75 76658.3 40.9 0.16 11 5.11 0.19 10 4.00 0.13 7 WNU54 76645.5 — — — 5.18 0.30 11 4.06 0.18 8 WNU18 76565.5 46.3 0.10 25 5.78 0.11 24 4.24 0.12 13  CONT. — 37.0 — — 4.66 — — 3.75 — — WNU87 76667.1 61.5 0.17  7 7.69 0.17  7 4.88 0.02 7 WNU87 76667.3 67.3 0.23 17 8.41 0.23 17 4.86 0.28 6 WNU87 76670.3 61.9 0.16  7 7.74 0.16  7 4.78 0.10 4 WNU39 77171.5 63.1 0.09  9 7.88 0.09  9 4.78 0.28 4 WNU2 77867.3 65.4 0.20 13 8.18 0.20 13 — — — WNU2 77869.1 — — — — — — 4.87 0.23 6 WNU2 77869.3 61.6 0.20  7 7.70 0.20  7 4.77 0.11 4 CONT. — 57.7 — — 7.22 — — 4.58 — — WNU99 77097.4 36.9 0.06 10 4.62 0.06 10 4.05 0.05 6 WNU99 77098.4 — — — — — — 4.05 0.07 6 WNU99 77099.4 38.4 0.28 14 4.80 0.28 14 — — — WNU98  77463.13 — — — — — — 4.15 0.01 9 WNU98 77465.1 38.1 0.02 13 4.76 0.02 13 4.09 0.03 7 WNU98 77465.3 37.5 0.06 12 4.69 0.06 12 4.30 L 12  WNU97 77181.6 40.7 L 21 5.09 L 21 4.28 0.08 12  WNU94 78108.5 — — — — — — 3.95 0.21 3 WNU91 76211.3 — — — — — — 3.94 0.25 3 WNU83 75821.7 44.7 L 33 5.58 L 33 4.50 L 18  WNU83 75821.8 37.4 0.06 11 4.67 0.06 11 4.08 0.04 7 WNU83 75823.9 — — — — — — 4.00 0.11 5 WNU61 78014.1 37.7 0.20 12 4.71 0.20 12 4.17 0.01 9 WNU61 78014.2 38.5 0.03 14 4.81 0.03 14 4.12 0.14 8 WNU6 76542.5 38.9 0.01 16 4.86 0.01 16 4.15 0.04 9 WNU6 76544.8 36.3 0.28  8 4.54 0.28  8 4.00 0.11 5 WNU55 77631.1 — — — — — — 4.02 0.24 5 WNU51 79018.4 — — — — — — 4.04 0.07 6 WNU51 79020.6 — — — — — — 3.99 0.21 4 WNU5 76045.4 36.4 0.24  8 4.55 0.24  8 — — — WNU46 77024.6 36.2 0.17  8 4.52 0.17  8 3.98 0.21 4 WNU43 77267.2 36.0 0.19  7 4.50 0.19  7 — — — WNU42 76598.1 37.6 0.06 12 4.70 0.06 12 4.05 0.08 6 WNU42 76599.4 41.4 L 23 5.17 L 23 4.23 L 11  WNU41 79012.4 39.2 L 16 4.90 L 16 4.25 0.05 11  WNU35 75792.2 — — — — — — 3.95 0.24 3 WNU35 75794.1 35.8 0.19  7 4.48 0.19  7 3.97 0.20 4 WNU35 75794.3 44.5 0.27 32 5.56 0.27 32 4.53 0.23 19  WNU34 76588.3 38.3 0.02 14 4.78 0.02 14 4.06 0.04 6 WNU34 76588.6 — — — — — — 4.20 0.26 10  WNU34 76588.8 36.7 0.21  9 4.58 0.21  9 — — — WNU31 75786.3 40.4 L 20 5.05 L 20 4.36 L 14  WNU31 75786.7 39.9 0.02 19 4.99 0.02 19 4.20 0.08 10  WNU31 75789.5 46.6 L 39 5.83 L 39 4.65 L 22  WNU31 75790.8 38.3 0.21 14 4.79 0.21 14 — — — WNU17 76556.4 38.7 0.02 15 4.84 0.02 15 4.13 0.02 8 WNU14 77113.4 — — — — — — 3.98 0.14 4 WNU11 76398.1 42.5 0.01 26 5.31 0.01 26 4.36 L 14  WNU11 76400.2 37.8 0.03 13 4.73 0.03 13 4.20 0.15 10  WNU105 77261.2 41.5 L 23 5.18 L 23 4.25 L 11  WNU105 77262.1 36.2 0.17  8 4.53 0.17  8 3.99 0.26 4 WNU102 76550.4 37.5 0.04 11 4.68 0.04 11 4.25 0.01 11  CONT. — 33.6 — — 4.20 — — 3.82 — — WNU28 76826.1 60.5 0.05 17 7.56 0.05 17 4.49 0.09 5 WNU28 76827.3 56.4 0.18  9 7.05 0.18  9 4.45 0.19 4 WNU28 76827.4 60.3 0.25 16 7.53 0.25 16 — — — WNU28 76829.3 61.7 0.04 19 7.71 0.04 19 4.62 0.17 8 WNU21 75781.6 61.0 L 18 7.63 L 18 4.60 L 8 WNU21 75781.8 63.0 0.03 21 7.87 0.03 21 4.69 0.07 10  WNU21 75784.1 64.1 0.21 23 8.01 0.21 23 4.83 0.20 13  WNU21 75784.4 58.8 0.16 13 7.35 0.16 13 4.47 0.28 5 WNU21 75784.7 58.9 0.02 13 7.36 0.02 13 4.47 0.11 5 WNU13 78921.3 61.3 0.15 18 7.67 0.15 18 4.56 0.23 7 WNU13 78921.4 63.8 L 23 7.98 L 23 4.61 0.06 8 WNU13 78923.6 64.9 0.07 25 8.11 0.07 25 4.79 0.05 13  WNU13 78924.2 55.6 0.17  7 6.95 0.17  7 4.39 0.30 3 WNU13 78924.3 66.5 0.19 28 8.31 0.19 28 4.75 0.24 12  WNU13 78925.3 60.8 0.04 17 7.60 0.04 17 4.57 0.12 7 WNU13 78925.8 62.5 0.11 20 7.81 0.11 20 4.65 0.17 9 CONT. — 51.9 — — 6.49 — — 4.26 — — WNU66 77754.4 60.7 0.21  6 7.59 0.21  6 4.88 0.14 3 WNU27 77748.1 65.1 0.11 14 8.14 0.11 14 5.00 0.17 5 WNU27 77748.2 65.3 0.17 14 8.16 0.17 14 4.97 0.08 5 WNU27 77750.1 — — — — — — 5.04 0.21 6 CONT. — 57.1 — — 7.14 — — 4.74 — — WNU92 77124.5 70.5 0.26 12 8.82 0.29 11 — — — WNU92 77125.3 70.2 0.23 11 8.77 0.27 10 — — — WNU72 77086.3 69.4 0.15 10 8.68 0.18  9 — — — WNU72 77088.1 76.5 0.16 21 9.57 0.17 20 4.97 0.20 11  WNU57 76647.1 71.5 0.27 13 9.33 0.14 17 4.92 0.15 10  WNU57 76649.5 70.9 0.13 12 8.86 0.15 11 4.80 0.05 7 WNU57 76649.7 72.6 0.09 15 9.08 0.10 14 4.84 0.14 8 WNU57 76650.2 67.4 0.27  7 — — — — — — CONT. — 63.1 — — 7.96 — — 4.48 — — Table 97: “CONT.”—Control; “Ave.”—Average; “% Incr.” = % increment; “p-val.”—p-value; L means that p-value is less than 0.01, p < 0.1 was considered as significant.

The genes listed in Table 98 improved plant NUE when grown at limiting nitrogen concentration levels. These genes produced faster developing plants when grown under limiting nitrogen growth conditions, compared to control plants, grown under identical conditions as measured by growth rate of leaf number, rosette diameter and plot coverage.

TABLE 98 Genes showing improved rosette growth performance at limiting nitrogen growth conditions RGR Of Leaf RGR Of Plot RGR Of Rosette Number Coverage [cm²/day] Diameter [cm/day] P- % P- % P- % Gene Name Event # Ave. Val. Incr. Ave. Val. Incr. Ave. Val. Incr. WNU78 76661.4 — — — 15.4 L 36 0.591 L 20 WNU78 76662.2 — — — 13.9 L 23 0.534 0.14  9 WNU78 76665.5 — — — — — — 0.538 0.12  9 WNU78 76665.6 — — — 13.1 0.04 16 0.532 0.21  8 WNU74 77576.1 — — — 12.6 0.12 11 0.549 0.06 11 WNU74 77576.6 — — — 13.2 0.02 17 0.559 0.02 14 WNU74 77576.8 — — — — — — 0.536 0.16  9 WNU74 77578.4 — — — 12.4 0.22  9 — — — WNU74 77579.5 — — — 13.0 0.05 16 0.529 0.23  7 WNU71 77656.1 — — — 13.0 0.05 15 0.550 0.05 12 WNU67 79413.2 — — — 12.8 0.09 13 0.551 0.06 12 WNU67 79413.5 — — — — — — 0.529 0.21  7 WNU67 79473.4 — — — 14.0 L 24 0.565 0.01 15 WNU32 76576.2 — — — 12.5 0.15 11 — — — WNU32 76576.4 0.801 0.28 11 15.8 L 40 0.563 0.01 14 WNU32 76576.5 — — — 12.5 0.15 11 0.526 0.25  7 WNU32 76577.1 0.820 0.20 14 — — — — — — WNU32 76578.1 0.812 0.23 13 14.6 L 30 0.559 0.02 14 WNU32 76578.3 — — — 13.0 0.06 16 0.542 0.10 10 WNU32 76578.5 — — — 13.0 0.05 15 0.534 0.15  8 WNU32 76580.2 — — — 12.8 0.07 14 0.556 0.04 13 WNU32 76580.6 — — — 13.6 L 20 0.545 0.07 11 WNU25 78806.7 — — — 12.7 0.13 12 — — — WNU25 78806.8 — — — 12.5 0.17 11 0.543 0.10 10 CONT. — 0.721 — — 11.3 — — 0.492 — — WNU75 76658.3 — — — 14.2 0.21 15 — — — WNU54 76643.5 0.891 0.21 14 — — — — — — WNU54 76645.5 0.886 0.23 13 14.3 0.18 16 — — — WNU18 76565.5 — — — 14.6 0.12 19 — — — CONT. — 0.781 — — 12.3 — — — — — WNU87 76667.3 — — — 12.5 0.05 18 — — — WNU73 76651.5 — — — 11.7 0.24 11 — — — WNU39 77171.5 — — — 11.6 0.22 11 — — — WNU2 77867.3 — — — 12.1 0.10 15 — — — WNU2 77869.1 — — — 11.5 0.29  9 — — — WNU2 77869.3 — — — 11.5 0.27  9 — — — CONT. — — — — 10.5 — — — — — WNU99 77099.2 0.631 0.14 16 — — — — — — WNU98  77463.13 — — — — — — 0.383 0.05 12 WNU98 77465.1 — — —  5.93 0.20 14 — — — WNU98 77465.3 — — — — — — 0.376 0.10 11 WNU97 77181.6 — — —  6.20 0.08 20 — — — WNU94 78110.7 0.635 0.12 17 — — — — — — WNU83 75821.7 — — —  6.65 0.01 28 0.382 0.05 12 WNU83 75821.8 — — — — — — 0.365 0.24  7 WNU83 75823.9 — — — — — — 0.370 0.17  9 WNU61 78014.1 — — —  5.95 0.19 15 0.383 0.04 13 WNU61 78014.2 0.625 0.17 15  5.94 0.19 15 — — — WNU6 76542.5 — — —  5.85 0.24 13 0.373 0.13  9 WNU51 79018.4 — — —  5.84 0.27 13 0.366 0.25  7 WNU51 79020.6 0.623 0.17 14 — — — — — — WNU5 76045.6 0.604 0.29 11 — — — — — — WNU43 77267.2 — — — — — — 0.369 0.18  8 WNU42 76598.1 — — —  5.78 0.30 12 — — — WNU42 76599.4 — — —  6.31 0.06 22 — — — WNU41 79012.4 — — —  6.13 0.10 18 0.375 0.11 10 WNU41 79013.1 0.617 0.21 13 — — — — — — WNU35 75794.1 0.610 0.26 12 — — — — — — WNU35 75794.3 — — —  6.82 0.01 32 0.397 0.03 17 WNU34 76588.3 — — —  5.79 0.28 12 — — — WNU34 76588.6 — — — — — — 0.370 0.19  9 WNU31 75786.3 — — —  5.96 0.17 15 0.383 0.05 13 WNU31 75786.7 — — —  5.91 0.20 14 — — — WNU31 75789.5 0.614 0.26 13  7.42 L 43 0.409 L 20 WNU31 75790.8 — — —  6.03 0.15 16 0.391 0.02 15 WNU17 76556.4 0.609 0.30 12  5.95 0.18 15 — — — WNU14  77113.11 0.643 0.10 18 — — — — — — WNU11 76398.1 — — —  6.73 0.01 30 0.389 0.03 14 WNU11 76400.2 — — —  5.84 0.25 13 0.381 0.07 12 WNU105 77261.2 — — —  6.22 0.07 20 0.373 0.13  9 WNU105 77262.1 0.631 0.16 16 — — — — — — WNU102 76550.4 — — — — — — 0.369 0.18  8 CONT. — 0.544 — —  5.18 — — 0.341 — — WNU28 76826.1 — — — 10.4 0.04 17 — — — WNU28 76827.3 — — —  9.62 0.30  8 — — — WNU28 76827.4 — — — 10.1 0.12 13 — — — WNU28 76829.3 — — — 10.7 0.01 21 0.450 0.08 14 WNU28 76829.5 0.785 0.13 15 — — — — — — WNU21  75781.10 — — — 10.1 0.11 14 0.428 0.30  8 WNU21  75781.11 0.781 0.13 14 — — — — — — WNU21 75781.6 — — — 10.5 0.02 18 — — — WNU21 75781.8 — — — 11.0 L 24 0.441 0.12 11 WNU21 75781.9 — — — — — — 0.439 0.16 11 WNU21 75783.1 — — —  9.96 0.15 12 — — — WNU21 75784.1 — — — 11.2 L 27 0.468 0.04 18 WNU21 75784.4 — — — 10.2 0.07 15 0.427 0.30  8 WNU21 75784.7 — — — 10.0 0.10 13 — — — WNU13 78921.3 0.764 0.27 12 10.5 0.03 18 — — — WNU13 78921.4 — — — 10.9 L 22 0.433 0.20  9 WNU13 78923.6 — — — 11.2 L 26 0.441 0.13 11 WNU13 78923.8 — — — — — — 0.439 0.18 11 WNU13 78924.2 — — —  9.75 0.23 10 — — — WNU13 78924.3 — — — 11.5 L 29 0.447 0.15 13 WNU13 78925.3 0.762 0.23 12 10.5 0.03 18 0.428 0.26  8 WNU13 78925.8 0.771 0.20 13 10.5 0.03 18 — — — CONT. — 0.683 — —  8.88 — — 0.396 — — WNU60 78878.4 0.820 0.11 17 — — — — — — WNU47 77178.2 — — — — — — 0.514 0.25  8 WNU47 77180.4 0.837 0.07 19 — — — — — — WNU33 76581.3 0.821 0.11 17 — — — — — — WNU33 76581.6 0.813 0.15 16 — — — — — — WNU27 77747.4 0.801 0.22 14 — — — — — — WNU27 77748.1 0.784 0.28 12 11.8 0.07 15 0.513 0.24  8 WNU27 77748.2 — — — 11.6 0.10 14 — — — WNU27 77750.1 — — — 11.6 0.13 13 — — — WNU26  76673.10 0.789 0.25 12 — — — — — — WNU26 76673.5 0.886 0.02 26 — — — — — — WNU26 76674.1 0.813 0.14 16 — — — — — — CONT. — 0.702 — — 10.2 — — 0.477 — — WNU92 77124.5 — — — 10.6 0.30 12 — — — WNU72 77086.3 — — — 10.8 0.23 14 — — — WNU72 77088.1 — — — 11.4 0.08 20 0.461 0.26 10 WNU57 76647.1 0.826 0.10 14 11.2 0.11 19 0.484 0.09 16 WNU57 76649.5 — — — 10.6 0.28 12 — — — WNU57 76649.7 — — — 11.0 0.15 17 0.470 0.16 12 CONT. — 0.725 — —  9.47 — — 0.419 — — Table 98. “CONT.”—Control; “Ave.”—Average; “% Incr.” = % increment; “p-val.”—p-value; L means that p-value is less than 0.01, p < 0.1 was considered as significant.

The genes listed in Tables 99-100 improved plant NUE when grown at standard nitrogen concentration levels. These genes produced larger plants with a larger photosynthetic area and increased biomass (fresh weight, dry weight, leaf number, rosette diameter, rosette area and plot coverage) when grown under standard nitrogen conditions as compared to control plants grown under identical growth conditions.

TABLE 99 Genes showing improved plant biomass production at standard nitrogen growth conditions Dry Weight [mg] Fresh Weight [mg] Leaf Number Gene P- % P- % P- % Name Event # Ave. Val. Incr. Ave. Val. Incr. Ave. Val. Incr. WNU75 76657.1 — — — 2170.8 0.18 10 9.67 L 8 WNU75 76657.5 — — — — — — 9.29 0.21 3 WNU75 76658.3 183.8 0.15 10 2154.2 0.25  9 9.38 0.07 4 WNU75 76659.6 178.3 0.21  6 2129.2 0.04  7 9.46 0.01 5 WNU54 76641.5 187.1 0.02 12 2216.7 L 12 9.29 0.28 3 WNU54 76643.2 175.0 0.11  4 — — — — — — WNU54 76644.1 — — — — — — 9.33 0.25 4 WNU54 76645.3 — — — 2175.0 0.14 10 — — — WNU54 76645.5 — — — — — — 9.46 L 5 WNU54 76645.7 173.3 0.23  3 2125.0 0.07  7 — — — WNU44 76636.1 — — — — — — 9.46 0.01 5 WNU44 76636.3 — — — — — — 9.58 L 7 WNU44 76639.1 183.3 0.01  9 2141.7 0.05  8 9.54 0.16 6 WNU44 76639.2 — — — — — — 9.46 0.01 5 WNU44 76639.3 175.5 0.24  5 2110.5 0.25  7 — — — WNU44 76640.3 — — — — — — 9.38 0.06 4 WNU44 76640.9 176.7 0.24  5 — — — — — — WNU29 76628.1 183.8 0.09 10 2191.7 0.15 11 9.75 L 9 WNU29 76628.4 173.3 0.18  3 2084.5 0.26  5 9.25 0.23 3 WNU29 76628.7 — — — 2162.5 0.21  9 9.33 0.06 4 WNU29 76628.9 — — — — — — 9.33 0.17 4 WNU29 76629.1 — — — — — — 9.62 0.07 7 WNU29 76630.2 — — — — — — 9.38 0.27 4 WNU18 76562.2 176.2 0.23  5 2150.0 0.10  9 — — — WNU18 76563.3 177.5 0.10  6 2083.3 0.12  5 9.54 0.22 6 WNU18 76564.2 191.8 L 14 2286.3 L 15 9.17 0.24 2 WNU18 76565.5 194.2 L 16 2345.8 0.02 18 9.50 0.20 6 WNU104 76617.1 181.0 0.25  8 2211.9 0.04 12 9.54 0.11 6 WNU104 76618.3 184.6 0.13 10 2212.5 L 12 9.17 0.29 2 WNU104 76619.3 — — — — — — 9.58 L 7 WNU104 76619.6 — — — — — — 9.33 0.14 4 WNU104 76620.2 — — — — — — 9.62 0.02 7 WNU104 76620.4 — — — — — — 9.40 0.05 5 WNU104 76620.5 — — — — — — 9.33 0.14 4 WNU104 76620.7 — — — — — — 9.46 0.16 5 CONT. — 167.7 — — 1980.9 — — 8.98 — — WNU28 76830.1 — — — — — — 10.5  0.30 2 WNU21 75784.6 — — — — — — 10.9  0.05 6 CONT. — — — — — — — 10.2  — — WNU92 77124.5 — — — 1525.6 0.14  9 10.1  0.26 3 WNU92 77124.7 129.9 0.23  9 — — — — — — WNU92 77125.3 — — — 1505.9 0.30  8 — — — WNU72 77086.3 131.2 0.13 11 1558.3 0.02 11 10.2  0.08 4 WNU72 77088.2 130.3 0.25 10 1581.0 0.19 13 — — — WNU72 77090.1 136.4 0.27 15 1478.6 0.14  6 — — — WNU57 76647.1 137.1 0.27 15 — — — — — — WNU57 76650.2 132.4 0.08 12 1531.5 0.10 10 — — — WNU3  76633.13 — — — — — — 10.0  0.28 2 WNU15 76551.5 128.4 0.27  8 — — — — — — WNU15 76552.7 128.5 0.11  8 1493.1 0.09  7 — — — CONT. — 118.7 — — 1398.2 — — 9.83 — — WNU78 76662.2 — — — — — — 11.5  0.02 8 WNU78 76665.6 316.3 0.03 20 3141.7 L 24 — — — WNU74 77578.1 — — — 2687.5 0.12  6 — — — WNU32 76576.4 — — — — — — 12.1  L 13  WNU32 76576.5 — — — 2883.3 0.14 14 — — — WNU32 76578.1 — — — 2662.5 0.15  5 — — — WNU32 76578.3 290.0 0.30 10 2904.2 0.07 14 — — — WNU32 76580.2 285.0 0.01  8 2879.2 L 13 — — — WNU32 76580.6 279.2 0.11  6 2966.7 0.03 17 — — — WNU25 78808.4 277.6 0.13  5 2872.0 0.02 13 — — — CONT. — 263.3 — — 2539.2 — — 10.7  — — WNU87 76667.3 — — — — — — 10.2  0.25 7 WNU73 76651.7 — — — — — — 9.88 0.03 4 WNU58 76761.5 — — — — — — 9.92 0.22 4 WNU58 76764.2 164.6 0.24 11 — — — — — — CONT. — 148.7 — — 1832.8 — — 9.54 — — WNU66 77753.1 317.4 0.07 13 3801.2 0.09 18 — — — WNU66 77753.4 — — — 3720.2 0.25 16 — — — WNU66 77754.4 — — — — — — 10.6  0.04 7 WNU60  78877.12 — — — — — — 10.2  0.29 2 WNU60 78877.6 314.2 0.11 12 3532.1 0.04 10 — — — WNU60 78877.9 — — — 3525.6 0.22 10 — — — WNU60  78878.10 — — — — — — 10.7  0.20 7 WNU60  78878.12 — — — 3739.9 0.15 16 — — — WNU47 77178.9 — — — — — — 10.1  0.28 2 WNU47 77180.5 — — — 3380.2 0.26  5 — — — WNU33 76581.3 — — — — — — 10.4  0.24 4 WNU33 76581.5 303.8 0.27  8 — — — 10.4  0.06 4 WNU33 76581.6 — — — — — — 10.4  0.08 4 WNU33 76582.1 295.0 0.22  5 3525.0 0.04 10 — — — WNU33 76584.1 — — — — — — 10.9  0.01 9 WNU33 76584.2 — — — 3399.4 0.27  6 — — — WNU33 76584.3 326.6 0.14 17 — — — 10.2  0.17 3 WNU27 77747.5 — — — — — — 10.8  0.02 8 WNU27 77748.1 — — — — — — 10.7  0.28 7 WNU27 77750.1 — — — — — — 10.9  0.15 10  WNU26 76672.1 — — — 3398.2 0.25  6 — — — WNU26 76673.2 297.4 0.12  6 3845.8 0.10 20 — — — WNU26 76673.4 343.6 0.03 23 3569.6 0.02 11 — — — WNU26 76673.9 — — — 3573.8 0.20 11 — — — CONT. — 280.3 — — 3213.9 — — 9.96 — — Table 99. “CONT.”—Control; “Ave.”—Average; “% Incr.” = % increment; “p-val.”—p-value; L means that p-value is less than 0.01, p < 0.1 was considered as significant.

TABLE 100 Genes showing improved plant biomass production at standard nitrogen growth conditions Plot Coverage [cm²] Rosette Area [cm²] Rosette Diameter [cm] Gene P- % P- % P- % Name Event # Ave. Val. Incr. Ave. Val. Incr. Ave. Val. Incr. WNU75 76657.1 41.8 0.05 31 5.22 0.06 30 3.99 0.12 14 WNU75 76658.3 43.6 0.04 37 5.46 0.04 36 4.09 0.03 17 WNU75 76659.6 41.6 L 31 5.19 L 30 4.10 L 17 WNU54 76641.5 39.1 0.01 23 4.89 0.02 22 3.96 L 13 WNU54 76643.2 39.8 L 25 4.97 L 24 3.99 L 14 WNU54 76644.1 34.9 0.27 10 — — — — — — WNU54 76644.4 42.1 L 32 5.26 L 31 4.08 L 16 WNU54 76645.3 37.8 L 19 4.72 L 18 3.80 0.02  9 WNU54 76645.7 36.1 0.21 14 4.52 0.24 13 — — — WNU44 76636.1 40.9 0.10 29 5.11 0.11 28 4.08 0.11 16 WNU44 76636.3 38.7 L 22 4.84 0.01 21 3.96 0.05 13 WNU44 76639.1 42.8 L 35 5.35 L 33 4.01 L 14 WNU44 76639.2 — — — — — — 3.68 0.22  5 WNU44 76639.4 36.7 0.16 16 4.59 0.18 15 3.78 0.08  8 WNU44 76640.9 36.0 0.25 13 4.50 0.27 12 — — — WNU29 76628.1 40.7 L 28 5.08 L 27 4.09 L 17 WNU29 76628.4 34.1 0.30  7 — — — — — — WNU29 76628.7 36.7 0.22 16 4.59 0.24 15 — — — WNU29 76628.9 39.0 0.01 23 4.87 0.01 22 3.97 0.09 13 WNU29 76629.3 41.2 L 30 5.15 0.01 29 4.05 0.03 16 WNU18 76561.2 36.1 0.05 14 4.51 0.07 13 — — — WNU18 76562.2 40.0 L 26 5.00 L 25 4.14 L 18 WNU18 76564.2 40.3 0.02 27 5.04 0.02 26 4.01 0.12 14 WNU18 76565.5 45.8 L 44 5.73 L 43 4.29 L 22 WNU104 76617.1 41.4 L 30 5.18 L 29 4.05 0.02 16 WNU104 76618.3 39.3 L 24 4.91 L 23 3.92 0.01 12 WNU104 76619.6 33.9 0.29  7 — — — — — — WNU104 76620.2 35.1 0.24 10 4.39 0.28  9 — — — WNU104 76620.4 — — — 4.25 0.28  6 — — — CONT. — 31.8 — — 4.01 — — 3.50 — — WNU28 76826.1 67.4 0.15 13 8.42 0.15 13 4.90 0.18  7 WNU21  75781.10 69.4 0.27 16 8.67 0.27 16 — — — WNU21 75781.8 67.6 0.03 13 8.45 0.03 13 4.86 0.09  6 WNU21 75784.1 70.6 0.06 18 8.82 0.06 18 4.94 0.05  7 WNU21 75784.4 68.1 0.30 14 8.52 0.30 14 — — — WNU13 78921.4 69.1 0.03 16 8.64 0.03 16 4.96 0.11  8 WNU13 78923.6 69.0 0.29 16 8.63 0.29 16 5.01 0.18  9 WNU13 78924.3 70.6 0.06 18 8.82 0.06 18 4.90 0.26  6 WNU13 78925.3 68.7 0.07 15 8.58 0.07 15 4.92 L  7 CONT. — 59.6 — — 7.45 — — 4.60 — — WNU92 77124.5 78.2 0.25 23 — — — — — — WNU72 77086.3 74.2 L 16 9.27 0.03 10 4.98 0.01  7 WNU72 77088.2 78.2 0.12 23 9.78 0.21 16 — — — WNU72 77090.1 69.0 0.29  8 — — — — — — WNU57 76647.1 77.2 0.12 21 9.65 0.22 14 — — — WNU57 76650.2 75.8 0.02 19 9.47 0.08 12 — — — WNU52 76605.3 72.0 0.30 13 — — — — — — CONT. — 63.8 — — 8.44 — — 4.67 — — WNU78 76661.4 86.1 0.05 19 10.8  0.05 19 5.64 0.02  8 WNU78 76662.2 89.1 0.17 24 11.1  0.17 24 5.74 0.21 10 WNU78 76665.6 84.5 0.07 17 10.6  0.07 17 5.68 0.09  8 WNU71 77656.1 82.3 0.03 14 10.3  0.03 14 5.63 0.04  7 WNU67 79472.2 82.7 0.11 15 10.3  0.11 15 5.62 0.10  7 WNU67 79473.4 — — — 10.6  0.20 17 5.76 0.04 10 WNU32 76576.4 97.3 0.05 35 12.2  0.05 35 5.89 0.01 12 WNU32 76578.1 93.3 0.13 29 11.7  0.13 29 5.96 0.07 14 WNU32 76578.3 — — — — — — 5.65 0.28  8 WNU32 76580.6 88.5 L 23 11.1  L 23 5.81 L 11 CONT. — 72.0 — — 9.00 — — 5.24 — — WNU87 76667.3 62.3 0.15 13 7.79 0.20 11 — — — WNU73 76651.7 64.3 L 17 8.03 L 14 4.92 L  9 WNU73 76653.1 59.9 0.27  9 — — — — — — CONT. — 54.9 — — 7.02 — — 4.52 — — WNU33 76581.3 67.9 0.17  6 8.49 0.17  6 — — — WNU33 76584.2 69.5 0.04  9 8.69 0.04  9 5.18 0.20  3 WNU33 76584.3 69.0 0.12  8 8.62 0.12  8 5.17 0.20  3 WNU27 77747.5 71.8 0.22 12 8.97 0.22 12 5.30 0.29  5 WNU27 77748.1 75.4 0.15 18 9.43 0.15 18 5.40 L  7 WNU27 77748.2 77.9 0.03 22 9.73 0.03 22 5.55 L 10 WNU27 77750.1 76.9 0.01 20 9.61 0.01 20 5.48 0.01  9 WNU26 76673.5 — — — — — — 5.31 0.17  6 CONT. — 63.9 — — 7.98 — — 5.03 — — Table 100: “CONT.”—Control; “Ave.”—Average; “% Incr.” = % increment; “p-val.”—p-value; L means that p-value is less than 0.01, p < 0.1 was considered as significant.

The genes listed in Table 101 improved plant NUE when grown at standard nitrogen concentration levels. These genes produced faster developing plants when grown under normal (standard) nitrogen growth conditions, compared to control plants, grown under identical growth conditions, as measured by growth rate of leaf number, rosette diameter and plot coverage.

TABLE 101 Genes showing improved rosette growth performance at standard nitrogen growth conditions RGR Of Leaf RGR Of Plot RGR Of Rosette Number Coverage [cm²/day] Diameter [cm/day] Gene P- % P- % P- % Name Event # Ave. Val. Incr. Ave. Val. Incr. Ave. Val. Incr. WNU75 76657.1 — — — 13.9 0.07 23 — — — WNU75 76658.3 — — — 14.7 0.02 30 — — — WNU75 76659.6 0.836 0.26 14 14.5 0.03 28 0.566 0.21 12 WNU54 76641.5 — — — 13.5 0.13 19 0.558 0.29 10 WNU54 76643.2 — — — 13.3 0.17 17 — — — WNU54 76644.1 0.838 0.24 14 — — — — — — WNU54 76644.4 0.841 0.23 15 13.6 0.11 20 — — — WNU54 76645.3 — — — 12.9 0.27 14 — — — WNU44 76636.1 — — — 13.4 0.14 19 — — — WNU44 76636.3 — — — 13.4 0.14 18 0.558 0.28 10 WNU44 76639.1 — — — 14.3 0.04 26 — — — WNU44 76640.9 — — — 13.1 0.23 15 — — — WNU29 76628.1 — — — 13.4 0.15 18 0.568 0.20 12 WNU29 76628.9 0.837 0.24 14 13.0 0.23 15 — — — WNU29 76629.3 — — — 13.7 0.09 21 — — — WNU18 76562.2 — — — 15.1 0.01 33 0.579 0.13 14 WNU18 76564.2 — — — 13.9 0.08 22 — — — WNU18 76565.5 — — — 14.3 0.04 26 0.565 0.24 11 WNU104 76617.1 — — — 13.5 0.13 19 — — — WNU104 76618.3 — — — 13.7 0.10 21 — — — WNU104 76619.3 0.863 0.15 18 — — — — — — CONT. — 0.732 — — 11.3 — — 0.507 — — WNU45 79666.1 0.782 0.10 19 — — — — — — WNU45 79667.7 0.737 0.27 12 — — — — — — WNU28 76826.1 — — — 11.8 0.14 15 0.522 0.04 18 WNU21  75781.10 — — — 12.2 0.08 19 0.519 0.07 17 WNU21 75781.8 — — — 11.8 0.14 15 — — — WNU21 75781.9 — — — 11.6 0.22 13 — — — WNU21 75784.1 — — — 12.0 0.10 17 — — — WNU21 75784.4 — — — 11.7 0.18 14 — — — WNU21 75784.6 — — — 11.4 0.29 11 — — — WNU13 78921.4 — — — 12.3 0.05 20 0.524 0.04 18 WNU13 78923.6 — — — 12.1 0.11 18 — — — WNU13 78924.3 — — — 11.7 0.17 14 — — — WNU13 78925.3 0.769 0.15 17 12.2 0.06 19 0.511 0.07 15 CONT. — 0.656 — — 10.3 — — 0.444 — — WNU92 77124.5 — — — 12.2 0.08 19 0.511 0.25  9 WNU72 77086.3 — — — 11.5 0.26 11 — — — WNU72 77088.2 — — — 12.2 0.07 19 0.520 0.15 11 WNU57 76647.1 — — — 12.2 0.08 18 — — — WNU57 76650.2 0.846 0.12 12 11.8 0.15 14 — — — CONT. — 0.752 — — 10.3 — — 0.470 — — WNU78 76661.4 — — — 14.4 0.18 13 — — — WNU78 76662.2 — — — 14.8 0.11 16 — — — WNU78 76665.6 — — — 15.1 0.06 19 0.607 0.28  9 WNU74 77576.2 0.812 0.26 14 — — — — — — WNU74 77578.4 — — — 15.4 0.05 21 0.609 0.30  9 WNU71 77656.1 — — — 14.2 0.22 12 — — — WNU67 79413.2 — — — 14.2 0.27 11 0.640 0.09 15 WNU67 79413.5 — — — 14.2 0.29 11 — — — WNU67 79472.2 — — — 14.7 0.12 15 0.609 0.25  9 WNU67 79473.4 — — — 14.2 0.27 11 0.611 0.24  9 WNU32 76576.4 — — — 16.2 L 27 — — — WNU32 76578.1 — — — 16.2 L 27 0.629 0.13 13 WNU32 76578.3 — — — 14.5 0.18 14 — — — WNU32 76580.6 — — — 15.7 0.02 23 0.611 0.24  9 CONT. — 0.714 — — 12.8 — — 0.559 — — WNU87 76667.1 0.787 0.08 21 — — — — — — WNU87 76667.3 — — — 11.6 0.05 14 — — — WNU87 76670.4 0.789 0.07 21 — — — — — — WNU73 76651.7 0.822 0.03 26 12.1 L 19 0.506 0.08 11 WNU73 76653.1 — — — 11.1 0.21  9 — — — WNU58 76761.1 0.795 0.05 22 — — — — — — WNU58 76761.5 0.760 0.16 16 — — — — — — WNU58 76764.3 0.743 0.25 14 — — — — — — WNU58 76765.4 0.764 0.15 17 11.1 0.20 10 — — — WNU39 77171.2 0.757 0.21 16 11.4 0.11 12 — — — WNU39 77171.4 0.748 0.21 15 — — — 0.491 0.22  8 WNU39 77173.2 0.757 0.18 16 — — — — — — WNU2 77867.5 0.730 0.30 12 — — — — — — WNU2 77868.4 0.734 0.26 12 — — — — — — WNU2 77869.3 0.764 0.18 17 — — — — — — CONT. — 0.653 — — 10.2 — — 0.454 — — WNU66 77754.3 0.917 0.22 14 — — — — — — WNU66 77754.4 0.925 0.19 15 — — — — — — WNU60  78878.10 1.00  0.04 25 — — — — — — WNU33 76584.1 0.924 0.19 15 — — — — — — WNU33 76584.2 — — — 13.1 0.27  9 — — — WNU27 77747.5 — — — 13.1 0.26  9 — — — WNU27 77748.1 — — — 13.8 0.06 15 0.580 0.21  8 WNU27 77748.2 — — — 14.2 0.03 18 0.590 0.13 10 WNU27 77750.1 — — — 14.0 0.04 17 0.573 0.29  7 WNU26 76675.3 0.911 0.23 13 — — — — — — WNU26 76675.4 0.909 0.27 13 — — — — — — CONT. — 0.803 — — 12.0 — — 0.534 — — Table 101. “CONT.”—Control; “Ave.”—Average; “% Incr.” = % increment; “p-val.”—p-value; L means that p-value is less than 0.01, p < 0.1 was considered as significant.

Example 21 Evaluation of Transgenic Brachypodium NUE and Yield Under Low or Normal Nitrogen Fertilization in Greenhouse Assay

Assay 1: Nitrogen Use efficiency measured plant biomass and yield at limited and optimal nitrogen concentration under greenhouse conditions until heading—This assay follows the plant biomass formation and growth (measured by height) of plants which are grown in the greenhouse at limiting and non-limiting (e.g., normal) nitrogen growth conditions. Transgenic Brachypodium seeds were sown in peat plugs. The T₁ transgenic seedlings were then transplanted to 27.8×11.8×8.5 cm trays filled with peat and perlite in a 1:1 ratio. The trays were irrigated with a solution containing nitrogen limiting conditions, which were achieved by irrigating the plants with a solution containing 3 mM inorganic nitrogen in the form of NH₄NO₃, supplemented with 1 mM KH₂PO₄, 1 mM MgSO₄, 3.6 mM KCl, 2 mM CaCl₂ and microelements, while normal nitrogen levels were achieved by applying a solution of 6 mM inorganic nitrogen also in the form of NH₄NO₃ with 1 mM KH₂PO₄, 1 mM MgSO₄, 2 mM CaCl₂, 3.6 mM KCl and microelements. All plants were grown in the greenhouse until heading. Plant biomass (the above ground tissue) was weighted right after harvesting the shoots (plant fresh weight [FW]). Following, plants were dried in an oven at 70° C. for 48 hours and weighed (plant dry weight [DW]).

Each construct was validated at its T₁ generation. Transgenic plants transformed with a construct conformed by an empty vector carrying the BASTA selectable marker were used as control (FIG. 9B).

The plants were analyzed for their overall size, fresh weight and dry matter. Transgenic plants performance was compared to control plants grown in parallel under the same conditions. Mock-transgenic plants with no gene and no promoter at all, were used as control (FIG. 9B).

The experiment was planned in blocks and nested randomized plot distribution within them. For each gene of the invention five independent transformation events were analyzed from each construct.

Phenotyping

Plant Fresh and Dry shoot weight—In Heading assays when heading stage has completed (about day 30 from sowing), the plants were harvested and directly weighed for the determination of the plant fresh weight on semi-analytical scales (0.01 gr) (FW) and left to dry at 70° C. in a drying chamber for about 48 hours before weighting to determine plant dry weight (DW).

Time to Heading—In both Seed Maturation and Heading assays heading was defined as the full appearance of the first spikelet in the plant. The time to heading occurrence is defined by the date the heading is completely visible. The time to heading occurrence date was documented for all plants and then the time from planting to heading was calculated.

Leaf thickness—In Heading assays when minimum 5 plants per plot in at least 90% of the plots in an experiment have been documented at heading, measurement of leaf thickness was performed using a micro-meter on the second leaf below the flag leaf.

Plant Height—In both Seed Maturation and Heading assays once heading was completely visible, the height of the first spikelet was measured from soil level to the bottom of the spikelet.

Tillers number—In Heading assays manual count of tillers was preformed per plant after harvest, before weighing.

The genes listed in Table 102-105 improved plant biomass, growth rate and NUE when grown at low nitrogen concentration levels (nitrogen-limiting growth conditions; Tables 102-103) and at standard (normal) nitrogen growth conditions (Tables 104-105). These genes produced faster developing plants as compared to control plants which are grown under identical growth conditions, as measured by the increase in biomass (e.g., dry and fresh weight, leaf thickness) and in number of tillers.

TABLE 102 Genes showing improved plant performance at low Nitrogen growth conditions under regulation of At6669 promoter Dry Weight [mg] Fresh Weight [mg] Leaf Thickness Gene P- % P- % P- % Name Event # Ave. Val. Incr. Ave. Val. Incr. Ave. Val. Incr. CONT. 0.233 — — 0.88 — — 0.2056 — — WNU78 1073 0.258 0.30 10.90 — — — — — — WNU44 1175 0.306 0.05 31.54 1.19 0.02 34.58 0.2254 0.0181 9.6251 WNU78 1184 0.287 0.09 23.48 1.13 0.05 28.48 0.2175 0.2384 5.7751 WNU78 1185 0.271 0.18 16.67 — — — 0.2258 0.0073 9.8278 WNU78 1186 0.264 0.21 13.44 — — — — — — WNU44 1194 0.278 0.11 19.68 — — — — — — WNU87 1200 0.279 0.09 20.07 1.01 0.16 14.82 — — — WNU87 1204 0.265 0.22 13.80 — — — 0.2197 0.0600 6.8288 WNU92 1240 0.32 0.01 35.81 1.13 0.01 28.01 0.2251 0.0176 9.4630 Table 102. “CONT.”—Control; “Ave.”—Average; “% Incr.” = % increment; “p-val.”—p-value, L—p < 0.01.

TABLE 103 Genes showing improved plant performance at low Nitrogen growth conditions under regulation of At6669 promoter Gene Tiller Number Time to Heading [day] Name Event # Ave. P-Val. % Incr. Ave. P-Val. % Incr. CONT. — 3.92 — — 28.84 — — WNU78 1073 — — — 27.54 0.24 −4.49 WNU44 1175 4.67 0.15 19.15 — — — WNU78 1184 — — — 27.00 0.19 −6.37 WNU78 1186 — — — 27.25 0.18 −5.50 WNU44 1194 — — — 21.37 0.00 −25.91  WNU87 1200 — — — 26.46 0.04 −8.25 WNU87 1204 — — — 26.18 0.07 −9.20 WNU87 1206 4.55 0.25 16.17 26.90 0.09 −6.72 WNU92 1240 — — — 27.14 0.16 −5.88 Table 103. “CONT.”—Control; “Ave.”—Average; “% Incr.” = % increment; “p-val.”—p-value, L—p < 0.01.

It should be noted that a negative increment (in percentages) when found in time to heading indicates potential for drought avoidance.

TABLE 104 Genes showing improved plant performance at Normal growth conditions under regulation of At6669 promoter Dry Weight [mg] Fresh Weight [mg] Leaf Thickness Gene P- % P- % P- % Name Event # Ave. Val. Incr. Ave. Val. Incr. Ave. Val. Incr. CONT. — 0.448 — — 2.19 — — 0.2223 — — WNU78 1074 0.533 0.08 18.99 — — — — — — WNU44 1175 0.520 0.19 16.20 — — — 0.2375 0.0844  6.841612 WNU78 1184 0.576 0.04 28.77 2.68 0.04 22.48 — — — WNU78 1185 0.593 0.03 32.40 2.62 0.14 19.62 0.2354 0.1512 5.9044 WNU78 1186 0.497 0.26 11.08 — — — — — — WNU44 1194 0.546 0.04 22.07 — — — — — — WNU87 1200 0.548 0.06 22.44 2.45 0.22 12.15 — — — WNU87 1201 — — — 2.49 0.22 13.89 0.2333 0.2509 4.9672 WNU87 1203 0.576 0.04 28.77 2.80 0.03 28.12 — — — WNU87 1204 0.580 0.01 29.52 2.48 0.17 13.37 — — — WNU87 1211 0.498 0.30 11.36 — — — 0.2367 0.1632 6.4667 WNU92 1240 0.636 0.00 42.12 2.75 0.02 25.52 0.2345 0.2044 5.4920 Table 104. “CONT.”—Control; “Ave.”—Average; “% Incr.” = % increment; “p-val.”—p-value, L—p < 0.01.

TABLE 105 Genes showing improved plant performance at Normal growth conditions under regulation of At6669 promoter Gene Tiller Number Time to Heading [day] Name Event # Ave. P-Val. % Incr. Ave. P-Val. % Incr. CONT. — 5.81 — — 29.44 — — WNU78 1074 — — — 26.25 0.06 −10.83 WNU78 1186 — — — 27.40 0.17  −6.92 WNU44 1194 — — — 23.00 L −21.87 WNU87 1200 7.79 0.15 34.05 — — — WNU87 1203 7.79 0.15 34.05 28.94 0.75  −1.68 WNU87 1204 — — — 25.13 0.01 −14.65 WNU92 1240 — — — 27.52 0.19  −6.51 Table 105. “CONT.”—Control; “Ave.”—Average; “% Incr.” = % increment; “p-val.”—p-value, L—p < 0.01. It should be noted that a negative increment (in percentages) when found in time to heading indicates potential for drought avoidance.

Example 22 Evaluation of Transgenic Brachypodium NUE and Yield Under Low or Normal Nitrogen Fertilization in Greenhouse Assay

Assay 2: Nitrogen Use efficiency measured plant biomass and yield at limited and optimal nitrogen concentration under greenhouse conditions until Seed Maturation—This assay follows the plant biomass and yield production of plants that were grown in the greenhouse at limiting and non-limiting nitrogen growth conditions. Transgenic Brachypodium seeds were sown in peat plugs. The T₁ transgenic seedlings were then transplanted to 27.8×11.8×8.5 cm trays filled with peat and perlite in a 1:1 ratio. The trays were irrigated with a solution containing nitrogen limiting conditions, which were achieved by irrigating the plants with a solution containing 3 mM inorganic nitrogen in the form of NH₄NO₃, supplemented with 1 mM KH₂PO₄, 1 mM MgSO₄, 3.6 mM KCl, 2 mM CaCl₂ and microelements, while normal nitrogen levels were achieved by applying a solution of 6 mM inorganic nitrogen also in the form of NH₄NO₃ with 1 mM KH₂PO₄, 1 mM MgSO₄, 2 mM CaCl₂, 3.6 mM KCl and microelements. All plants were grown in the greenhouse until seed maturation. Each construct was validated at its T₁ generation. Transgenic plants transformed with a construct conformed by an empty vector carrying the BASTA selectable marker were used as control (FIG. 9B).

The plants were analyzed for their overall biomass, fresh weight and dry matter, as well as a large number of yield and yield components related parameters. Transgenic plants performance was compared to control plants grown in parallel under the same conditions. Mock-transgenic plants with no gene and no promoter at all (FIG. 9B). The experiment was planned in blocks and nested randomized plot distribution within them. For each gene of the invention five independent transformation events were analyzed from each construct.

Phenotyping

Plant Fresh and Dry vegetative weight—In Seed Maturation assays when maturity stage has completed (about day 80 from sowing), the plants were harvested and directly weighed for the determination of the plant fresh weight (FW) and left to dry at 70° C. in a drying chamber for about 48 hours before weighting to determine plant dry weight (DW).

Spikelets Dry weight (SDW)—In Seed Maturation assays when maturity stage has completed (about day 80 from sowing), the spikelets were separated from the biomass, left to dry at 70° C. in a drying chamber for about 48 hours before weighting to determine spikelets dry weight (SDW).

Grain Yield per Plant—In Seed Maturation assays after drying of spikelets for SDW, spikelets were run through production machine, then through cleaning machine, until seeds were produced per plot, then weighed and Grain Yield per Plant was calculated.

Grain Number—In Seed Maturation assays after seeds per plot were produced and cleaned, the seeds were run through a counting machine and counted.

1000 Seed Weight—In Seed Maturation assays after seed production, a fraction was taken from each sample (seeds per plot; ˜0.5 gr), counted and photographed. 1000 seed weight was calculated.

Harvest Index—In Seed Maturation assays after seed production, harvest index was calculated by dividing grain yield and vegetative dry weight.

Time to Heading—In both Seed Maturation and Heading assays heading was defined as the full appearance of the first spikelet in the plant. The time to heading occurrence is defined by the date the heading is completely visible. The time to heading occurrence date was documented for all plants and then the time from planting to heading was calculated.

Leaf thickness—In Heading assays when minimum 5 plants per plot in at least 90% of the plots in an experiment have been documented at heading, measurement of leaf thickness was performed using a micro-meter on the second leaf below the flag leaf.

Grain filling period—In Seed Maturation assays maturation was defined by the first color-break of spikelet+stem on the plant, from green to yellow/brown.

Plant Height—In both Seed Maturation and Heading assays once heading was completely visible, the height of the first spikelet was measured from soil level to the bottom of the spikelet.

Tillers number—In Heading assays manual count of tillers was preformed per plant after harvest, before weighing.

Number of reproductive heads per plant—In Heading assays manual count of heads per plant was performed.

Statistical analyses—To identify genes conferring significantly improved tolerance to abiotic stresses, the results obtained from the transgenic plants were compared to those obtained from control plants. To identify outperforming genes and constructs, results from the independent transformation events tested were analyzed separately. Data was analyzed using Student's t-test and results were considered significant if the p value was less than 0.1. The JMP statistics software package was used (Version 5.2.1, SAS Institute Inc., Cary, N.C., USA).

Although the invention has been described in conjunction with specific embodiments thereof, it is evident that many alternatives, modifications and variations will be apparent to those skilled in the art. Accordingly, it is intended to embrace all such alternatives, modifications and variations that fall within the spirit and broad scope of the appended claims.

All publications, patents and patent applications mentioned in this specification are herein incorporated in their entirety by reference into the specification, to the same extent as if each individual publication, patent or patent application was specifically and individually indicated to be incorporated herein by reference. In addition, citation or identification of any reference in this application shall not be construed as an admission that such reference is available as prior art to the present invention. To the extent that section headings are used, they should not be construed as necessarily limiting. In addition, any priority document(s) of this application is/are hereby incorporated herein by reference in its/their entirety. 

What is claimed is:
 1. A method of increasing nitrogen use efficiency, yield, growth rate, biomass, plant height, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance and/or reducing time to flowering and/or time to inflorescence emergence of a plant, comprising over-expressing within the plant a polypeptide comprising an amino acid sequence at least 80% identical and having conservative amino acid substitutions with respect to SEQ ID NO: 272, 202-203, 205-219, 221-284, 286-292, 295-327, 4064-4068, 4074-4175, 4177-4210, 4212-4580, 4582-4603, 4605-4749, 4751-4778, 4780-5223, 5225-5493, 5522-5807, 5812, 5815-5816, 5828-6679, 6689-6690, 6708-6785, 6792-6892 or 6893 as compared to a wild type plant of the same species, thereby increasing the nitrogen use efficiency, yield, growth rate, biomass, plant height, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance and/or reducing time to flowering and/or time to inflorescence emergence of the plant.
 2. The method of claim 1, wherein said amino acid sequence is at least 90% identical to the amino acid sequence set forth by SEQ ID NO: 272, 202-203, 205-219, 221-284, 286-292, 295-327, 4064-4068, 4074-4175, 4177-4210, 4212-4580, 4582-4603, 4605-4749, 4751-4778, 4780-5223, 5225-5493, 5522-5807, 5812, 5815-5816, 5828-6679, 6689-6690, 6708-6785, 6792-6892 or
 6893. 3. The method of claim 1, wherein said amino acid sequence exhibits at least 95% sequence identity and having conservative amino acid substitutions with respect to the polypeptide selected from the group consisting of SEQ ID NOs: 272, 202-203, 205-284, 286-327 and 4064-4068, 4074-6893.
 4. The method of claim 1, wherein said polypeptide is selected from the group consisting of SEQ ID NOs: 272, 202-203, 205-284, 286-327 and 4064-4068, 4074-6893.
 5. The method of claim 1, wherein said polypeptide is expressed from a polynucleotide comprising the nucleic acid sequence selected from the group consisting of SEQ ID NOs: 178, 1-2, 4-83, 85-113, 115-190, 192-201 and 328-4062.
 6. A method of producing a crop comprising growing a crop plant transformed with an exogenous polynucleotide comprising a nucleic acid sequence encoding a polypeptide at least 80% identical and having conservative amino acid substitutions with respect to the amino acid sequence selected from the group consisting of SEQ ID NOs: 272, 202-203, 205-219, 221-284, 286-292, 295-327, 4064-4068, 4074-4175, 4177-4210, 4212-4580, 4582-4603, 4605-4749, 4751-4778, 4780-5223, 5225-5493, 5522-5807, 5812, 5815-5816, 5828-6679, 6689-6690, 6708-6785, and 6792-6893, wherein the crop plant is derived from plants transformed with said exogenous polynucleotide and selected for increased nitrogen use efficiency, increased yield, increased growth rate, increased biomass, increased plant height, increased vigor, increased oil content, increased seed yield, increased fiber yield, increased fiber quality, increased fiber length, increased photosynthetic capacity, increased abiotic stress tolerance, reduced time to flowering and/or reduced time to inflorescence emergence as compared to a wild type plant of the same species which is grown under the same growth conditions, and the crop plant having the increased nitrogen use efficiency, increased yield, increased growth rate, increased biomass, increased plant height, increased vigor, increased oil content, increased seed yield, increased fiber yield, increased fiber quality, increased fiber length, increased photosynthetic capacity, increased abiotic stress tolerance, reduced time to flowering and/or reduced time to inflorescence emergence, thereby producing the crop.
 7. The method of claim 6, wherein said amino acid sequence is at least 90% identical to the amino acid sequence set forth by SEQ ID NO: 272, 202-203, 205-219, 221-284, 286-292, 295-327, 4064-4068, 4074-4175, 4177-4210, 4212-4580, 4582-4603, 4605-4749, 4751-4778, 4780-5223, 5225-5493, 5522-5807, 5812, 5815-5816, 5828-6679, 6689-6690, 6708-6785, 6792-6892 or
 6893. 8. The method of claim 6, wherein said amino acid sequence exhibits at least 95% sequence identity and having conservative amino acid substitutions with respect to the polypeptide selected from the group consisting of SEQ ID NOs: 272, 202-203, 205-284, 286-327 and 4064-4068, 4074-6893.
 9. The method of claim 6, wherein said polypeptide is selected from the group consisting of SEQ ID NOs: 272, 202-203, 205-284, 286-327 and 4064-4068, 4074-6893.
 10. The method of claim 6, wherein said nucleic acid sequence is selected from the group consisting of SEQ ID NOs: 178, 1-2, 4-83, 85-113, 115-190, 192-201 and 328-4062.
 11. A nucleic acid construct comprising an isolated polynucleotide comprising a nucleic acid sequence encoding a polypeptide which comprises an amino acid sequence at least 80% identical and having conservative amino acid substitutions with respect to the amino acid sequence set forth in SEQ ID NO: 272, 202-203, 205-219, 221-284, 286-292, 295-327, 4064-4068, 4074-4175, 4177-4210, 4212-4580, 4582-4603, 4605-4749, 4751-4778, 4780-5223, 5225-5493, 5522-5807, 5812, 5815-5816, 5828-6679, 6689-6690, 6708-6785, 6792-6892, or 6893, and a promoter for directing transcription of said nucleic acid sequence in a host cell, said promoter is heterologous to said isolated polynucleotide, wherein said amino acid sequence is capable of increasing nitrogen use efficiency, yield, growth rate, biomass, plant height, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, abiotic stress tolerance reducing time to flowering and/or reducing time to inflorescence emergence of a plant.
 12. The nucleic acid construct of claim 11, wherein said polypeptide comprises the amino acid sequence selected from the group consisting of SEQ ID NOs: 272, 202-203, 205-284, 286-327 and 4064-4068, 4074-6893.
 13. The nucleic acid construct of claim 11, wherein said nucleic acid sequence is selected from the group consisting of SEQ ID NOs: 178, 1-2, 4-83, 85-113, 115-190, 192-201 and 328-4062.
 14. A plant cell transformed with the nucleic acid construct of claim
 11. 15. The plant cell of claim 14, wherein said plant cell forms part of a plant.
 16. A transgenic plant comprising the nucleic acid construct of claim
 11. 17. The method of claim 1, further comprising growing the plant over-expressing said polypeptide under the abiotic stress.
 18. The method of claim 1, wherein said abiotic stress is selected from the group consisting of salinity, drought, osmotic stress, water deprivation, flood, etiolation, low temperature, high temperature, heavy metal toxicity, anaerobiosis, nutrient deficiency, nitrogen deficiency, nutrient excess, atmospheric pollution and UV irradiation.
 19. The method of claim 1, further comprising growing the plant over-expressing said polypeptide under nitrogen-limiting conditions.
 20. A method of growing a crop, the method comprising seeding seeds and/or planting plantlets of a plant transformed with the nucleic acid construct of claim 11, wherein the plant is derived from plants selected for at least one trait selected from the group consisting of: increased nitrogen use efficiency, increased abiotic stress tolerance, increased biomass, increased plant height, increased growth rate, increased vigor, increased yield and increased fiber yield, increased fiber quality, increased fiber length, increased photosynthetic capacity, increased oil content, reduced time to flowering and/or reduced time to inflorescence emergence as compared to a non-transformed plant, thereby growing the crop.
 21. The method of claim 1, further comprising selecting a plant over-expressing said polypeptide for an increased nitrogen use efficiency, yield, growth rate, biomass, plant height, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, abiotic stress tolerance, reduced time to flowering and/or reduced time to inflorescence emergence as compared to the wild type plant of the same species which is grown under the same growth conditions.
 22. A method of selecting a plant having increased nitrogen use efficiency, yield, growth rate, biomass, plant height, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, abiotic stress tolerance, reduced time to flowering and/or reduced time to inflorescence emergence as compared to a wild type plant of the same species which is grown under the same growth conditions, the method comprising: (a) providing the transgenic plants of claim 16; and (b) selecting from said plants a plant having increased nitrogen use efficiency, yield, growth rate, biomass, plant height, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, abiotic stress tolerance, reduced time to flowering and/or reduced time to inflorescence emergence thereby selecting the plant having increased nitrogen use efficiency, yield, growth rate, biomass, plant height, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, abiotic stress tolerance, reduced time to flowering and/or reduced time to inflorescence emergence as compared to the wild type plant of the same species which is grown under the same growth conditions. 